<p><strong>In the week from February 9, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Thermo Fisher Scientific: Process Raman – A Reliable and Versatile Tool for Downstream Process Monitoring and Control for mAb Production</strong></h5><ul><li>Tu, 10.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5808">Registration</a></li></ul><p>The presentation highlights how process Raman spectroscopy offers several advantages over traditional in-line UV-Vis analysis for process monitoring and metabolite production control.</p><h5><strong>2. Bruker: Meet Compact-Q DEER Spectrometer – Your Gateway to Quantum Innovation</strong></h5><ul><li>Tu, 10.2.2026 17:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5757">Registration</a></li></ul><p>Discover how the Compact-Q DEER spectrometer enables high-fidelity qubit characterization and control, combining advanced microwave architecture, AWGs, and cryogen-free operation.</p><h5><strong>3. Agilent Technologies: Novel Advancements in Trace Level Determination and Long-Term Stability of Metals in TMAH and UPW Matrices</strong></h5><ul><li>Tu, 10.2.2026 21:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/3733">Registration</a></li></ul><p>Explore novel approaches for trace-level metal determination and long-term stability assessment in TMAH and ultrapure water matrices.</p><h5><strong>4. AZoM: From First to Best – Introducing the Litesizer DIF Series</strong></h5><ul><li>We, 11.2.2026 15:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5765">Registration</a></li></ul><p>Join this live webinar introducing the new Litesizer DIF series of laser diffraction particle size analyzers.</p><h5><strong>5. Anton Paar: Polymer Rheology – Rotational and Transient Measurements on a Polymer Melt</strong></h5><ul><li>We, 11.2.2026 18:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5786">Registration</a></li></ul><p>Learn how rotational and transient viscosity measurements on rotational rheometers reveal polymer melt flow behavior, from method setup and accessories to data interpretation.</p><h5><strong>6. Milestone: Practical Guidance to Improve the Journey from Sample to Heavy Metals Analysis for Environmental Labs</strong></h5><ul><li>Th, 12.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5803">Registration</a></li></ul><p>Improve heavy metals analysis in environmental laboratories with practical tips on reagents, filtration, cleaning, and workflow optimization to enhance data quality and efficiency.</p><h5><strong>7. Agilent Technologies: Moving from R&amp;D and Limited QC on a UV-Vis-NIR Instrument to Large-Scale QC Using an Autosampler</strong></h5><ul><li>Th, 12.2.2026 20:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/2104">Registration</a></li></ul><p>This presentation covers key aspects of adding and using an autosampler to maximize UV-Vis-NIR QC workflows when scaling from R&amp;D to routine quality control.</p>

Webinars LabRulezICPMS Week 07/2026

<p><strong>LA-ICP-MS imaging, particularly in TOF mode, provides rapid, high-resolution elemental maps of complex geological materials, but quantitative accuracy is often limited by heterogeneous mineralogy. This study introduces a workflow using UMAP for unsupervised dimensionality reduction combined with k-means clustering to segment mineral phases directly from per-pixel elemental data.</strong></p><p>Cluster compositions are matched to known minerals based on stoichiometry, allowing phase-specific normalization and reducing quantification errors by up to 60%. Validated on dawsonite-bearing sandstones, the approach enables consistent phase-resolved geochemical comparisons across depth profiles and establishes UMAP as a practical tool for accurate, interpretable multielement imaging.</p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05398"><strong>Mineral Phase-Resolved Quantification in LA-ICP-MS Imaging</strong></a></h4><p>Barbara Umfahrer, Jakub Buday, Pavel Pořízka, Jozef Kaiser, Paolo S. Garofalo*, and Detlef Günther*</p><p>Anal. Chem. 2026, 98, 1, 581–589</p><p><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.analchem.5c05398">https://doi.org/10.1021/acs.analchem.5c05398</a></p><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/"><strong>CC-BY 4.0</strong></a></h6></blockquote><p><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><p>Since its introduction in 1985, <a href="javascript:void(0);">(1)</a> Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry (LA-ICP-MS) has matured into a routine technique for both qualitative and quantitative elemental analysis, finding use in diverse fields such as geology, <a href="javascript:void(0);">(2−4)</a> biology, <a href="javascript:void(0);">(5,6)</a> materials science, <a href="javascript:void(0);">(7)</a> and cultural heritage. <a href="javascript:void(0);">(8,9)</a> Especially in comparison to liquid analysis techniques, the method excels through minimal sample preparation, negligible sample destruction, and low limits of detection, which enable trace element analysis. However, besides the availability of standard reference materials, a longstanding challenge of quantitative LA-ICP-MS is the need for a suitable internal standard to account for variations in ablation rate and transport efficiency, as well as instrumental drift. <a href="javascript:void(0);">(10)</a> Developed for applications in geological matrices, this requirement was elegantly circumvented by Liu et al. <a href="javascript:void(0);">(11)</a> through 100 wt % normalization, which assumes that all detected elements form oxides summing up to 100 wt %. This approach was conceptually inspired by the summed-spectrum normalization calibration procedure introduced by Leach and Hieftje in 2000, which emphasized the use of total signal intensities for robust internal standardization. <a href="javascript:void(0);">(12)</a> The 100 wt % normalization strategy was subsequently extended to the bulk analysis of carbonates. <a href="javascript:void(0);">(13)</a></p><p>Concurrently, the advent of time-of-flight (TOF) mass analyzers and the development of fast-washout laser ablation cells <a href="javascript:void(0);">(14−16)</a> have transformed LA-ICP-MS into a powerful imaging tool, capable of generating spatial maps across a variety of sample matrices at high data acquisition rates. <a href="javascript:void(0);">(17−19)</a> Furthermore, in comparison to, e.g., X-ray fluorescence spectroscopy (XRF) or Scanning Electron Microscopy with Energy-Dispersive X-ray Spectroscopy (SEM-EDS), LA-ICP-MS offers a high depth resolution of approximately 0.2 μm on glass, enabling precise measurement of fine-scale structures not only laterally but also in depth. <a href="javascript:void(0);">(18)</a> However, as the volume and complexity of these elemental images have grown according to the progressive advancement of the method itself, now consisting of gigabytes of data produced within minutes, manual data interpretation has become increasingly impractical. To uncover meaningful details and patterns, researchers have applied multivariate methods such as Principal Component Analysis (PCA) and k-means clustering to reduce dimensionality and delineate distinct regions within the images. <a href="javascript:void(0);">(20−23)</a> The nonlinear dimensionality reduction technique Uniform Manifold Approximation and Projection (UMAP), <a href="javascript:void(0);">(24)</a> which supports data interpretation with its capability to capture and separate subtle local structures, has first been employed to LA-ICP-MS bulk analysis data in 2024, where it was used to classify pyrite samples and discriminate between Pb and Zn deposit types. <a href="javascript:void(0);">(25,26)</a> In combination with elemental imaging, UMAP has recently been applied to biological tissue data sets as an exploratory analysis tool, <a href="javascript:void(0);">(27)</a> further enhancing the ability to visualize and interpret complex elemental distributions.</p><p>Despite these advances, no existing approach combines the unsupervised segmentation of mineral phases by UMAP with phase-specific normalization. In this study, we introduce a UMAP-driven workflow that (1) automatically segments distinct mineralogical phases within fine-grained geological matrices and (2) applies phase-specific 100 wt % normalization (e.g., oxide <a href="javascript:void(0);">(11)</a> or carbonate <a href="javascript:void(0);">(13)</a>), thereby improving quantification accuracy and enabling phase-specific quantitative interpretation of mineral distributions in complex matrices.</p><h4><strong>Materials and Methods</strong></h4><h5><strong>LA-ICP-TOFMS Imaging</strong></h5><p>LA-ICP-TOFMS analyses were performed using a 193 nm ArF excimer laser (GeoLas C, Lambda Physik, Göttingen, Germany) coupled to an ICP-TOFMS instrument (icpTOF 2R, TOFWERK AG, Thun, Switzerland). Ablation was conducted in the modified parallel flow ablation cell (MPFAC) <a href="javascript:void(0);">(16,34)</a> under a He atmosphere (99.999%, Linde Gas Schweiz AG, Dagmersellen, Switzerland) with Ar (99.996%, Linde Gas Schweiz AG) used as the carrier gas. A piezoelectrically driven xyz translational stage (1 nm resolution, SmarAct GmbH, Oldenburg, Germany) enabled precise sample positioning. Laser, stage movement, and ICP-TOFMS data acquisition were synchronized using a custom-built imaging control system. <a href="javascript:void(0);">(19)</a> The system was optimized each day based on maximum sensitivity while ensuring a <sup>238</sup>U<sup>+</sup>/<sup>232</sup>Th<sup>+</sup> intensity ratio of 1.0 to 1.1 on NIST SRM 610 and a <sup>232</sup>Th<sup>16</sup>O<sup>+</sup>/<sup>232</sup>Th<sup>+</sup> rate of below 0.5%.</p><h5><strong>LIBS Imaging</strong></h5><p>The LIBS analyses were performed on a Firefly system (Lightigo, Czech Republic). The laser (1064 nm, 5 mJ, pulse duration ∼10 ns, diameter 6 mm, operating at 50 Hz) was focused on the sample with a singlet lens (focal length 50 mm) to a 30 μm spot. The spatial resolution of the acquired elemental maps, with a size of about 16 mm × 26 mm, was 20 μm. Plasma radiation is collected by a multifiber configuration with a collimator and an optical fiber (400 μm core diameter), which delivered the light to several Czerny–Turner spectrometers (resolution 0.25–0.4 nm). The spectral range of the spectrometers is 180–850 nm. The radiation is collected 1.5 μs after ablation, with a gate width of 15 μs.</p><p>Data processing was done with Python 3.11.8 in the Spyder environment and included background correction and per-pixel z-score normalization.</p><h4><strong>Results and Discussion</strong></h4><h5><strong>LIBS and XRD Measurements</strong></h5><p>To assess whether carbonate-based normalization <a href="javascript:void(0);">(13)</a> is warranted, first, large-scale LIBS elemental intensity maps of the samples across about a third of the thin sections were acquired. <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05398#fig1">Figure 1</a> reveals the results for “Layer 2” of the Poggio del Gatto sandstone for selected elements. A complete mapping of all four thin sections can be found in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c05398/suppl_file/ac5c05398_si_001.pdf">Figures S3 and S6</a> in the Supporting Information. The maps reveal that C is strongly enriched in fracture veins as well as in finer-grained domains within the matrix and correlates with Ca, indicating carbonate minerals rather than oxides. Bulk XRD analysis identifies calcite alongside quartz, plagioclase, white mica, and kaolinite. These complementary observations confirm calcite as a major phase and thus justify the need for performing the 100 wt % normalization on a carbonate basis for pixels representing calcite.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_1_581_589_Figure_1_LIBS_elemental_intensity_maps_of_the_data_set_from_Layer_2_of_the_Poggio_del_Gatto_sandstone_mounted_on_a_microscope_slide_73ada1b7b8.jpg" alt="Anal. Chem. 2026, 98, 1, 581–589: Figure 1. LIBS elemental intensity maps of the data set from “Layer 2” of the Poggio del Gatto sandstone mounted on a microscope slide, depicting calcite veins and fine-grained structures within the matrix, underlining the need for carbonate-based normalization for specific pixels. Emission lines for evaluation are shown in the corresponding subfigure title. The epoxy used to fix the thin section on the slide is visible along the margin." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_1_581_589_Figure_1_LIBS_elemental_intensity_maps_of_the_data_set_from_Layer_2_of_the_Poggio_del_Gatto_sandstone_mounted_on_a_microscope_slide_73ada1b7b8.jpg 245w," sizes="100vw" width="2088" height="414"></p><h5><strong>Renormalization Based on Carbonates</strong></h5><p>Applying an oxide-based normalization to carbonate samples will introduce composition-dependent biases that cannot immediately be generalized as a singular numerical value. The difference between the molecular masses of carbonate CO<sub>3</sub><sup>2–</sup> and its oxide equivalent O<sup>2–</sup> yields an intrinsic bias on the order of a factor of about two, depending on the stoichiometry. Once this data is renormalized to a total of 100 wt %, the magnitude of the error becomes highly dependent on the specific elemental composition of the sample. An exemplary calculation illustrating this effect for a representative calcite pixel is provided in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c05398/suppl_file/ac5c05398_si_001.pdf">Table S2</a>, yielding a relative error of 79%. In practice, this error varies across the image according to the local phase composition. <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05398#fig6">Figure 6</a> illustrates the impact of normalization approaches for layer 2 of the samples as well as the spatial distribution of the resulting relative error. The figure presents Ca and Si elemental maps in two rows, while the first three columns compare different normalization strategies: normalization based on all oxides, normalization based on all carbonates, and a pixel-wise normalization guided by mineral phase identification, as outlined in the workflow proposed in this study. The final column displays the relative error between the bulk oxide- or carbonate-based normalization and the pixel-wise, phase-informed normalization.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2026_98_1_581_589_Figure_6_Comparison_of_normalization_strategies_for_Ca_and_Si_LA_ICP_TOFMS_elemental_maps_in_Layer_2_ce3a0c1a5c.jpg" alt="Anal. Chem. 2026, 98, 1, 581–589: Figure 6. Comparison of normalization strategies for Ca and Si LA-ICP-TOFMS elemental maps in “Layer 2” of the Poggio del Gatto sandstone. Rows show Ca (top) and Si (bottom); columns compare (1) oxide-based normalization, (2) carbonate-based normalization, (3) pixel-wise, phase-informed normalization (this study), and (4) relative error between the first two and the phase-informed approach." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2026_98_1_581_589_Figure_6_Comparison_of_normalization_strategies_for_Ca_and_Si_LA_ICP_TOFMS_elemental_maps_in_Layer_2_ce3a0c1a5c.jpg 202w," sizes="100vw" width="2088" height="1622"></p><p>For Ca (in this matrix primarily associated with calcite, a dominant carbonate phase in our samples), the relative error depicted quantifies the effect of applying oxide-based normalization across the entire image. This results in a systematic overestimation of the Ca concentration by approximately 60%. Conversely, for Si─in this matrix found mainly in quartz and various plagioclase phases─the error is shown for applying carbonate-based normalization across an oxidic matrix. In such cases, the Si concentrations are underestimated by roughly 10% to 40%, depending on the mineral phase.</p><p>These findings highlight that using a single normalization scheme across heterogeneous samples introduces substantial quantification errors. To mitigate this, the pixel-wise phase segmentation enabled by the proposed UMAP-based workflow offers a significant advantage, especially in fine-grained matrices. In short, phase-aware, pixel-wise normalization combines the strengths of both normalization approaches and proves to be highly beneficial.</p><h4><strong>Conclusion</strong></h4><p>This study demonstrates that phase-specific normalization, guided by unsupervised phase segmentation of LA-ICP-MS images, can substantially improve the accuracy of elemental quantification in fine-grained geological matrices. Rather than relying on a single global assumption (e.g., all oxides or all carbonates), the workflow adapts normalization to the actual mineralogy, minimizing systematic errors and enabling phase-resolved geochemical interpretation.</p><p>The segmentation step, based on UMAP embedding and <i>k</i>-means clustering, is fully unsupervised. However, the subsequent matching of clusters to specific minerals still relies on a limited set of preidentified stoichiometries and is therefore not yet fully unsupervised. Expansion to larger stoichiometric databases could help overcome this limitation and move toward automated mineral classification. A key challenge remains the similarity of cation ratios in certain mineral groups, which may still require complementary data to ensure robust assignments.</p><p>Overall, beyond the specific case of the Poggio del Gatto sandstone presented in this study, this work provides a framework for quantitative elemental imaging of complex geological samples and is readily transferable to other contexts that require spatially resolved composition-aware normalization. This contribution adds a practical implementation to a growing literature that already uses multivariate statistics to unlock the immense information depth of LA-ICP-TOFMS.</p>

Mineral Phase-Resolved Quantification in LA-ICP-MS Imaging

<p><strong>Eurachem and CITAC welcome analysts interested in the evaluation of chemical analysis uncertainty and in how to use this information in results interpretation. The Eurachem Week 2026 will begin with a training course on “Evaluation of the measurement uncertainty from in-house precision and recovery data” scheduled for Sunday, 10 May 2026. A two-days workshop on “Quality in Analytical Measurements: Uncertainty Evaluation and Results Interpretation” open to all interested participants will take place from 11 to 12 May 2026. On 13 May 2026, the Eurachem Working Groups will convene, followed by the Eurachem General Assembly, which will bring together the Executive and national delegates on 14 and 15 May. Both Working Group Meetings and the General Assembly are restricted to their members.</strong></p><p>The results of qualitative and quantitative chemical analyses should have an acceptable uncertainty, which should ideally be reported and considered in results interpretation.</p><p>For many analytical applications, simplified uncertainty evaluations can determine uncertainty values that meet the defined requirements for this parameter. The workshop will focus on the key technical challenges involved in practical evaluations of measurement uncertainty based on precision and recovery data gathered during in-house method validation and quality control. There will be a discussion of how to model the variation of the measurement uncertainty within the analytical range and how to handle divergent recovery values from the analysis of various reference materials. A session on the use of measurement uncertainty in conformity assessment will explore how the risk of false conformity decisions can be managed.</p><blockquote><h5><strong>New Eurachem guidance on using in-house precision and recovery data will be discussed at the workshop.</strong></h5></blockquote><p>Topics will also include the validation and uncertainty evaluation for qualitative analyses with particular attention to current accreditation requirements for these types of analysis. The last session of the workshop will be dedicated to the evaluation of measurement uncertainty arising from sampling and using it to judge the fitness for purpose, and hence validation, of measurement procedures that include sampling. Four sessions of the workshop will include engaging breakout sessions where participants will have the chance to share their views about challenging aspects of the analytical work. Participants are invited to propose posters and oral communications on session topics or any other relevant topic for analytical chemists or stakeholders of the analytical work.</p><h3><strong>Registration</strong></h3><blockquote><p class="cke-user_style-important"><strong>👉</strong><a target="_blank" rel="noopener noreferrer" href="https://conferences.chemistry.pt/register/eurachem2026"><strong>Register here for the workshop</strong></a></p></blockquote><h4><strong>Registration Fees</strong></h4><h5><strong>Early bird (EUR) - Until April 15th</strong></h5><ul><li><strong>Workshop: Regular participant (11 &amp; 12 May 2026): </strong>400 EUR</li><li><strong>Workshop: Student (11 &amp; 12 May 2026): </strong>250 EUR</li><li><strong>Eurachem Working Group<sup>1</sup> (13 May 2026):</strong> 75</li><li><strong>General Assembly<sup>2</sup> (14 &amp; 15 May 2026): </strong>250</li><li><strong>Training On Uncertainty Evaluation<sup>3</sup> (10 May 2026):</strong> 150</li></ul><h5><strong>After April 15th</strong></h5><ul><li><strong>Workshop: Regular participant (11 &amp; 12 May 2026): </strong>450 EUR</li><li><strong>Workshop: Student (11 &amp; 12 May 2026):</strong> 300 EUR</li><li><strong>Eurachem Working Group<sup>1</sup> (13 May 2026): </strong>100</li><li><strong>General Assembly<sup>2</sup> (14 &amp; 15 May 2026):</strong> 300</li><li><strong>Training On Uncertainty Evaluation<sup>3</sup> (10 May 2026): </strong>200</li></ul><blockquote><p>§ - <strong>50 EUR reduction for members of Eurachem</strong>, CITAC, SPQ, RELACRE, ForMEQ and SPMet at the workshop.</p><p>10% reduction for organisations that registered more than one participant.</p><p><sup>1 </sup>- Working group members</p><p><sup>2</sup> - Eurachem members</p><p><sup>3</sup> - 50% reduction for workshop participants</p></blockquote><h3><strong>Workshop</strong></h3><h4><strong>Eurachem/CITAC Workshop on Quality in Analytical Measurements:</strong></h4><h5><strong>Uncertainty Evaluation and Results Interpretation</strong></h5><p>The results of qualitative and quantitative chemical analyses should have an acceptable uncertainty, which should ideally be reported and considered in results interpretation. For many analytical applications, simplified uncertainty evaluations can determine uncertainty values meeting defined requirements for this parameter. The workshop will focus on the key technical challenges involved in practical evaluations of measurement uncertainty based on precision and recovery data gathered during in-house method validation. It will be discussed how to model the variation of the measurement uncertainty within the analytical range and how to handle divergent recovery values from the analysis of various reference materials. A session on the use of measurement uncertainty in conformity assessment will explore how the risk of false conformity decisions can be managed.</p><p>Topics will also include the validation and uncertainty evaluation of qualitative analyses with particular attention to current accreditation requirements for these types of analysis. The last session of the workshop will be dedicated to the evaluation of measurement uncertainty arising from sampling and using it to judge the fitness for purpose, and hence validation, of measurement procedures that include sampling.</p><p>Four sessions of the workshop will include engaging breakout sessions where participants will have the chance to share their views about challenging aspects of the analytical work. Participants are invited to propose posters and oral communications on session topics or any other relevant topic for analytical chemists or stakeholders of the analytical work.</p><h3><strong>Training Course</strong></h3><h4><strong>Evaluation of the measurement uncertainty from in-house precision and recovery data</strong></h4><ul><li>10 May 2026</li></ul><p>A course on the fundamentals of the evaluation of the measurement uncertainty from in-house precision and recovery data will be held on Sunday, 10 May 2026. This training is targeted for analysts with a basic understanding of the measurement uncertainty concept, how uncertainty components propagate, and how the combined uncertainty is expanded. Following the morning presentation of the theory of uncertainty evaluation, the afternoon will be dedicated to applying the theory to real-world cases. Trainees should have basic skills in using Microsoft Excel spreadsheets and bring a laptop with Microsoft Excel to complete the exercises. The interaction between trainers and trainees will be promoted to guarantee learning efficiency.</p><h5><strong>Trainers:</strong></h5><ul><li>Ricardo Bettencourt da Silva, Faculdade de Ciências da Universidade de Lisboa, Portugal (rjsilva@ciencias.ulisboa.pt)</li><li>Stephen L. R. Ellison - UK National Measurement Laboratory (NML) hosted at LGC, United Kingdom</li><li>Vicki Barwick - UK National Measurement Laboratory (NML) hosted at LGC, United Kingdom</li></ul><h4><strong>Agenda</strong></h4><h5><strong>8:00 Registration</strong></h5><h5><strong>9:00 Opening</strong></h5><h5><strong>9:05 Identifying, combining, and expanding uncertainty components: Theory and examples</strong></h5><h5><strong>9:45 Precision uncertainty: Theory and examples</strong></h5><h5><strong>10:30 </strong>Coffee break</h5><h5><strong>10:50 Trueness-related uncertainty: Theory and examples</strong></h5><h5><strong>12:00 Additional questions and discussion</strong></h5><h5><strong>12:30 </strong>Lunch</h5><h5><strong>13:30 Application example 1</strong></h5><h5><strong>15:30 </strong>Coffee break</h5><h5><strong>15:50 Application example 2</strong></h5><h5><strong>17:00 Additional questions and discussion</strong></h5><h5><strong>17:30 Closing</strong></h5><h3><strong>Venue</strong></h3><p>The series of Eurachem events will be held in:</p><ul><li>Meliã Lisboa Aeroporto ****</li><li>Rua C,2 1749-125 Lisboa, Portugal&nbsp;</li></ul>

Eurachem/CITAC Workshop on Quality in Analytical Measurements 2026

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Events

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Scientific article

Science and research

Eurachem is a European network promoting international traceability of chemical measurements and good analytical practice. It provides expert guidance, supports method validation, uncertainty evaluation, proficiency testing, and facilitates discussion on technical and policy issues in analytical quality.

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The Analytical Scientist

Anton Paar

Agilent Technologies

Quantum Analytics

C&EN

SciY/Mestrelab Research

<p><strong>Join us for an exclusive one-day hybrid event, here we&#39;ll explore the latest trends and innovations in microplastics analysis. The morning session will be live-streamed and recorded, allowing virtual  articipation for those unable to attend in person.</strong></p>
<p>We are excited to invite you to a special <strong>hybrid event</strong> in partnership with <strong>i3 Membrane</strong>, where we will delve into the latest trends and innovations in microplastics analysis. Whether you join us in person or virtually, you’ll gain invaluable insights and hands-on experience.</p>
<p><strong>Event also available in live stream</strong></p>
<h3><strong>Agenda:</strong></h3>
<ul>
<li><p><strong>Morning session:</strong> Gain key insights into <a href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=microplastics+analysis"><strong>microplastics analysis</strong></a>, as well as <a href="https://lcms.labrulez.com/library?mainauthorItems=10&amp;search=PFAS"><strong>PFAS</strong></a> and other environmental contaminants, through engaging presentations by top researchers and industry experts.</p>
</li>
<li><p><strong>Afternoon session:</strong> Participate in interactive workshops designed to enhance your practical skills in sample preparation. This provides a unique opportunity to master advanced techniques and methodologies under the guidance of professionals. Attend a live demo on the IR QCL-based <a href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=8700+LDIR"><strong>8700 LDIR</strong></a>. Additionally, enjoy a guided laboratory tour offering an exclusive glimpse into the state-of-the-art facilities at the HEREON campus.</p>
</li>
</ul>
<h5>9:15 a.m. - Welcome</h5>
<h5>9:20 a.m. - <strong>From Macroplastics to Mesoplastics: Challenges and Solutions</strong></h5>
<ul>
<li>Dr. Marion Börger, Agilent Technologies,</li>
<li>Dr. Andreas Kerstan, Agilent Technologies</li>
</ul>
<h5>9:40 a.m. - <strong>i3 Membrane Session: Filter Membranes/Packaging - Jacobs</strong></h5>
<ul>
<li>Kathrin Hahn, i3 Membrane</li>
</ul>
<h5>10:00 a.m. - <strong>Exploring Microplastic Sources and Distribution in Australian Soils</strong></h5>
<ul>
<li>Subharthe Samandra, University of Melbourne</li>
</ul>
<h5>10:20 a.m. - <strong>Advancing Analysis: Eurofins&#39; Path to ISO 17025 Accreditation for Microplastics Testing</strong></h5>
<ul>
<li>Julia Jäger, Eurofins</li>
</ul>
<h5>10:40 a.m. - Coffee Break</h5>
<h5>11:00 a.m. - <strong>Validation and Application of LDIR Imaging to Analyze Microplastics in Marine Samples</strong></h5>
<ul>
<li>Lars Hildebrandt, Hereon</li>
</ul>
<h5>11:20 a.m. - <strong>Applying Multiple Analytical Techniques to Answer Open Questions About Offshore Wind</strong></h5>
<ul>
<li>Alexa Zonderman, Hereon</li>
</ul>
<h5>11:40 a.m. - <strong>Sample-Based Subsampling Strategies to Analyze Large Quantities of Particles in LDIR</strong></h5>
<ul>
<li>Manuel Andrade, University La Coruna</li>
</ul>
<h5>12:00 p.m. - <strong>Beyond the Surface: Spotlight on Plastic [Metal(loid)] Additive Leaching and Unseen Contaminants</strong></h5>
<ul>
<li>Ole Klein, Hereon</li>
</ul>
<h5>12:20 p.m. - <strong>Microplastics back in food- Advantages of Thermal Desorption for a wide range of Samples</strong></h5>
<h5>12:40 p.m. - <strong>Struggling with Solvent Effects During the Analysis of PFAS</strong></h5>
<ul>
<li>Dr. Axel Ritter, Agilent Technologies</li>
</ul>
<h5>1:00 p.m. - Lunch Break</h5>
<h5>2:00 p.m. - <strong>An Analytical Toolbox to Unravel PFAS Source Fingerprints</strong></h5>
<ul>
<li>Frank Menger, Hereon</li>
</ul>
<h5>2:20 p.m. - <strong>LDIR for Assessment of Microplastics in the VAMAS Ring Trial and Tissue in a Murine Infection Model</strong></h5>
<ul>
<li>Christoph Krafft, IPHT</li>
</ul>
<h5>2:40 p.m. - <strong>Label-Free Infrared Spectroscopic Micro- and Nanoplastics Detection in Complex Matrices</strong></h5>
<ul>
<li>Markus Brandstetter, Recendt</li>
</ul>
<h5>3:00 p.m. - <strong>Break in Dividing the Guests into Subgroups</strong></h5>
<h5>3:10 p.m. - <strong>Lab Visits: Organic Lab, Microplastics Lab, Sample Prep, LDIR, and Other Techniques</strong></h5>
<h5>4:50 p.m. - Wrap up</h5>
<h3><strong>Meeting Information</strong></h3>
<ul>
<li><p><strong>Date:</strong> 29 October 2024</p>
</li>
<li><p><strong>Time:</strong> 9:00 a.m. to 4:50 p.m. CEST</p>
</li>
<li><p><strong>Location:</strong> GITZ GmbH, Max-Planck-Straße 2, 21502 Geesthacht, Germany </p>
</li>
<li><p><strong>Meals included:</strong> Enjoy complimentary lunch and snacks during the event.</p>
</li>
</ul>
<p><strong>Limited spots available!</strong> Hurry, to secure yours today.</p>
<blockquote>
<p><a href="https://explore.agilent.com/microplameeting24#form"><strong>Secure your spot</strong></a></p>
</blockquote>


Agilent Microplastics Meeting 2024

We'll explore the latest trends and innovations in microplastics analysis.

<p><strong>In this session, discover how Wiley’s KnowItAll saves hours of GC-MS manual analysis time by combining fast, flexible deconvolution with an integrated reference database search into a single, automated workflow to identify components.</strong></p><h4>We will demonstrate through a series of live examples:</h4><ul><li><strong>KnowItAll’s various methods for GC-MS analysis and how they can impact your workflow.</strong></li><li><strong>Professors and students engaged in chemistry and mass spectrometry courses or lab work.</strong></li></ul><p>About KnowItAll: KnowItAll combines all the tools and spectral databases you need for effective analysis into a single, easy-to-use interface to make your lab its most efficient. Compatible with over 130 instrument formats, it streamlines your entire workflow regardless of how many techniques and instruments you use. Learn more at sciencesolutions.wiley.com</p><blockquote><p><strong>Presenter: </strong>Dr. Leanna Ergin (Associate Editor, Wiley Science Solutions)</p><p>Dr. Leanna Ergin is an Associate Editor for Wiley Science Solutions, for which she helps create tools for spectroscopy, structural, and scientific standard reference data and helps create innovative software applications. Leanna completed her PhD in Clinical-Bioanalytical Chemistry from Cleveland State University, where she developed a protocol for processing hyperspectral image data that distinguishes the spectra, removes degeneracies caused by symmetry, and is generalized to work with any number of wavelength dimensions and spectra. The results are mapped to the full RGB colorspace of modern computer displays. Leanna joined Wiley in 2022.</p><p><strong>Presenter:&nbsp;</strong>Dr. Michelle D’Souza (Product Manager, Software Products, Wiley Science Solutions)</p><p>Dr. D’Souza has over 15 years of experience in the management and development of spectroscopy software, including her current position as product manager for software products at Wiley Science Solutions and prior to that at Bio-Rad Laboratories, Inc. She also worked many years in the pharmaceutical industry after obtaining a Ph.D. in chemistry from Northern Illinois University.</p></blockquote>

The Analytical Scientist: Introduction to KnowItAll for Mass Spectrometry

Introduction to KnowItAll for Mass Spectrometry

How Wiley’s KnowItAll saves hours of GC-MS manual analysis time.

<p><strong>Unlock a new level of precision and ease in your industrial operations with our upcoming webinar on FTIR gas analysis. Traditionally, gas analyzers demanded extensive expertise and complex setups, but Bruker has revolutionized this with cutting-edge technology that simplifies and accelerates the process of analyzing gaseous mixtures.</strong></p><p>Discover how innovative FTIR-based gas analysis systems, the Bruker MATRIX II-MG Series and the OMEGA 5 Gas Analysis System offer unparalleled dynamic range and effortless integration into any industrial setting. User-friendly interface and intuitive software make around-the-clock monitoring a breeze, providing real-time alerts when critical thresholds are missed. From power plants to production facilities, Bruker’s FTIR-based gas analyzers fit seamlessly into your existing workflows with remote control capabilities designed to enhance your operational efficiency.</p><p>Join us to explore how state-of-the-art FTIR technology can transform your approach to gas analysis, making it simpler, more accurate, and adaptable to even the harshest industrial environments.</p><p><strong>Key takeaways will include:</strong></p><ul><li>Modern FTIR gas analysis methods can dramatically simplify your operations.</li><li>Advanced analyzers that can easily integrate into your existing infrastructure.</li><li>Robust equipment designed to withstand challenging industrial conditions.</li><li>Elevate your gas analysis game and drive unparalleled efficiency in your production processes. Don’t miss out—click here to register today!</li></ul>

Quantum Analytics: Unleashing the Power of FTIR-Based Gas Analysis

Unleashing the Power of FTIR-Based Gas Analysis

State-of-the-art FTIR-based gas analysis technology can transform your approach to gas analysis

<p><strong>BET surface area of excipients and APIs plays a vital role in determining dissolution rates of tablets and capsules. Understanding the surface area helps decode issues related to dissolution rate failures and reduces time lost to trial and error. Learn how to comply with USP 846 (specific surface area, ultra-low surface area samples) using nitrogen instead of expensive krypton.</strong></p><blockquote><p><strong>Presenter: </strong>Robin Isyas</p><p>Dr. Robin Isyas is the Global Product Manager at Anton Paar and is based in Boynton Beach Florida USA. He has a diverse experience of 20 years in the industry. After his Ph.D. in UV Vis Spectroscopy, he worked as a research scientist in the Pharmaceutical industry. With a successful stint in research, he moved to the Analytical instrumentation industry where he held multiple leadership roles in Sales, Marketing, and Product Management. In his current role as Global Product Manager, he is responsible for developing new technologies in the field of Surface Area and Pores by working in collaboration with different industries like Pharmaceuticals, Cement, Food, Cosmetics, EV Battery, Carbon, Catalyst etc.<br>&nbsp;</p></blockquote>

Anton Paar: BET surface area measurement of excipients and its impact on dissolution rates

BET surface area measurement of excipients and its impact on dissolution rates

Learn how to comply with USP 846 (specific surface area, ultra-low surface area samples) using nitrogen instead of expensive krypton.

BET surface area measurement of excipients

<p><strong>Dear Customer,</strong></p><p><strong>Don’t miss this opportunity to learn how battery material characterization techniques can help you manufacture high-quality top-performing batteries! Battery safety, performance and lifetime are only as good as the materials that go into making the batteries. At our not-to-be-missed Anton Paar Battery Days Webinar, you will learn how to characterize material properties and apply the results to optimize your manufacturing process.</strong></p><p><strong>Webinar highlights:</strong></p><ul><li>How to characterize solid electrode materials to increase the battery performance and lifecycle</li><li>How to attain desired structural properties of slurries so they retain their homogeneity</li><li>How to guarantee the quality of the battery electrolyte</li><li>How to apply X-ray diffraction analysis techniques for battery powder analysis and battery cell characterization</li></ul><p><strong>Talk with the experts:</strong></p><ul><li>After the Battery Days Webinar you and your company will also have a possibility to book a private meeting with one (or several) of our experts to talk about your applications and needs in more detailed.</li><li>These private meetings will be held on Wednesday morning the 23rd of October 2024.</li><li>Each meeting can be customized based on your needs and interests.</li><li>If the meeting sounds interesting for you and your company please register fast since there are only limited timeslots available!</li></ul><p>If you like to book you talk with expert please write in the box for message and our local sales representatives will contact you for more detailed planning.</p><p><strong>Last day for registration is October 15, 2024.</strong></p>

Anton Paar: Anton Paar Battery Days Webinar

Anton Paar Battery Days Webinar

Learn how to characterize material properties and apply the results to optimize your manufacturing process.

<div><p><strong>The Pipkin Map is a foundational tool of the rheologist to separately consider effects of timescale and forcing strength [1-3]. This talk will describe how to use the Pipkin Map to understand test conditions on an instrument, relate those test conditions to processing-relevant time scales and forcing strengths, and understand the limits of the linear viscoelastic regime across a wide range of timescales (Deborah number). The forcing strength can be represented as either a strain, strain rate, or stress magnitude.&nbsp;</strong></p><p>This talk will outline options for dimensionless groups for this axis including but not limited to the Weissenberg number, Plasticity number, Capillary number, and Mnemosyne number. All these dimensionless numbers are subsets of the broader concept of a dimensionless quantity comparing a characteristic strength of deformation to a critical forcing strength for material nonlinearity to appear. In practice, the linear limit is often defined by a subjective threshold of nonlinear emergence. A more rigorous definition, independent of this subjective threshold, will be described, which is most clearly revealed from oscillatory deformation known as medium-amplitude oscillatory shear (MAOS) that independently controls the forcing timescale and amplitude [4-5]. Recent work with stress-controlled MAOS has revealed that stress is a more fundamental measure of nonlinearity strength across a wide range of Deborah number, challenging prior perspectives which have generally fixated on using strain or strain rate to understand the limit of the linear viscoelastic regime [5].</p><p>REFERENCES:</p><ul><li>[1] Pipkin, A. C., Lectures on Viscoelasticity Theory. Springer (1972) <a target="_blank" rel="noreferrer">https://doi.org/10.1007/978-1-4612-1078-8</a></li><li>[2] Corman, R. E., and R. H. Ewoldt, “Mapping linear viscoelasticity for design and tactile intuition,” Applied Rheology (2019). <a target="_blank" rel="noreferrer">https://doi.org/10.1515/arh-2019-0013</a></li><li>[3] Ewoldt, R.H. and G. H. McKinley, “Mapping thixo-elasto-visco-plastic behavior,” Rheologica Acta (2017). <a target="_blank" rel="noreferrer">http://dx.doi.org/10.1007/s00397-017-1001-8</a></li><li>[4] Ewoldt, R. H. and N. A. Bharadwaj, “Low-dimensional intrinsic material functions for nonlinear viscoelasticity,” Rheologica Acta (2013). <a target="_blank" rel="noreferrer">http://dx.doi.org/10.1007/s00397-013-0686-6</a></li><li>[5] Ramwali, N., M. T. Hossain, A. Shetty, and R. H. Ewoldt, “Stress-controlled medium-amplitude oscillatory shear (MAOStress) of PVA-Borax,” Journal of Rheology (2024) <a target="_blank" rel="noreferrer">https://doi.org/10.1122/8.0000843</a></li></ul><blockquote><p><strong>Presenter:</strong> Randy H. Ewoldt</p><p>Randy H. Ewoldt earned his PhD in Mechanical Engineering from MIT in 2009. He then spent two years as a Postdoctoral Fellow at the University of Minnesota in the Department of Chemical Engineering and Materials Science and the Institute for Mathematics and its Applications. In 2011, he joined the University of Illinois Urbana-Champaign (UIUC), where he holds the Alexander Rankin Professorship in the Department of Mechanical Science and Engineering. He is known for his expertise in rheology, including new measurement methods and techniques for avoiding bad data, and regularly teaches short courses in the USA and Europe. He is the winner of numerous awards for his science, writing, and teaching accomplishments including the Metzner Award from the Society of Rheology in 2014, the PECASE award from President Barack Obama in 2017, the Society of Rheology Publication Award in 2021, and a multitude of teaching awards at UIUC.</p></blockquote></div>

Anton Paar: Navigating the Pipkin Map: route planning and the edge of linearity

Navigating the Pipkin Map: route planning and the edge of linearity

This talk will describe how to use the Pipkin Map to understand test conditions on an instrument.

Navigating the Pipkin Map: the edge of linearity

<p><strong>From receiving raw milk and other ingredients into the plant to delivering final products to the consumer, there are a number of critical analyses required in order to ensure high-quality final products. Critical measurements include refractive index, density, concentration, oxidation stability, texture, flowability, gas concentration, and heavy metal analysis for food safety testing.</strong></p><p><strong>This webinar will provide an overview of how both bench-top instruments and inline sensors that measuring these critical parameters work together to ensure safe and high-quality products.&nbsp;</strong></p><blockquote><p><strong>Presenter: </strong>Helga Gschwind</p><p>Helga Gschwind is a Market Development Manager with Anton Paar USA focused on developing new markets for analytical, process and quality control instrumentation within the food industry. She received her engineering degree in food science from the National University of Lujan, Argentina and has worked for over 20 years in the food and beverage industry in quality, production, and engineering areas.<br>&nbsp;</p></blockquote>

Anton Paar: Key Parameters for Ensuring Safe and Efficient Dairy Product Quality Control

Key Parameters for Ensuring Safe and Efficient Dairy Product Quality Control

Overview of how both bench-top instruments and inline sensors that measuring these critical parameters work together to ensure safe and high-quality products.

Key Parameters for Dairy Product Quality Control

<p><span lang="EN-US" xml:lang="EN-US" data-scheme-color="@323130,," data-usefontface="false" data-contrast="none"><strong>Automated lab workflows often require many interactions with pre-existing in-house and commercial software systems. This webinar uses the real example of building a purification factory, to give some insights on how this can be done with Mestrelab tools in conjunction with in-house and commercial software.</strong></span></p><div data-aos-delay="0" data-aos-duration="1000"><div><p><span lang="EN-US" xml:lang="EN-US" data-usefontface="false" data-contrast="none">Join us for an insightful webinar where we’ll demonstrate how to integrate Mestrelab’s tools into a complex IT ecosystem to automate lab workflows. Using a real-world example, we'll show you how to build a purification factory that seamlessly connects in-house and commercial software systems.</span></p><p data-ccp-props="{&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559683&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559737&quot;:0,&quot;335562764&quot;:2,&quot;335562765&quot;:1,&quot;335562766&quot;:4,&quot;335562767&quot;:10,&quot;335562768&quot;:4,&quot;335562769&quot;:0}"><span data-usefontface="false" data-contrast="none"><strong>Who Should Attend?</strong></span>​</p><ul style="font-weight:400;"><li data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="1" data-aria-level="1"><span data-usefontface="false" data-contrast="none"><strong>Lab Managers and Scientists</strong> looking to automate and enhance lab workflows</span>​</li><li data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="2" data-aria-level="1"><span data-usefontface="false" data-contrast="none"><strong>IT and Automation Specialists</strong> in life sciences or chemical industries seeking integration solutions</span>​</li><li data-charcodes="8226" data-font="Arial,Sans-Serif" data-buautonum="8" data-aria-posinset="3" data-aria-level="1"><span data-usefontface="false" data-contrast="none"><strong>Anyone interested</strong> in embedding Mestrelab tools into a powerful, scalable IT infrastructure</span></li></ul><blockquote><p><strong>Presenter:</strong> John Hollerton (Senior Scientific Director, Mestrelab Research)</p><p><span data-teams="true" dir="ltr">John has over 40 years of experience in the scientific and informatics fields at GSK and its predecessor companies. He has managed various analytical functions, including NMR, X-ray crystallography, mass spectrometry, physical chemistry, and chromatography, and has expertise in chemical structure representation and registration. In informatics, he led projects to create a global scientific data management system and wrote software for instrument control, data transformation, and analysis. His team developed software to automate LCMS purification factories in the US and UK.&nbsp;</span></p></blockquote></div></div>

Mestrelab: Building a Purification Factory: Embedding Mestrelab Tools into a Rich IT Infrastructure

Building a Purification Factory: Embedding Mestrelab Tools into a Rich IT Infrastructure

We’ll demonstrate how to integrate Mestrelab’s tools into a complex IT ecosystem to automate lab workflows.

Embedding Mestrelab Tools into a Rich IT Infrastructure

<p><strong>Microplastic pollution is emerging as a critical environmental issue, and studies have found its presence in the highest mountains and deepest seas. To better understand the spread and impact of microplastics, reliable and accurate analysis is required, from sample collection to preparation and, finally, analysis and reporting.</strong></p><p>Our speaker, Dr. Shuhei Tanaka, will explore the following topics while using a recent study of samples collected from the 8km deep Japan Trench:</p><ul><li><strong>Optimizing sample preparation in sediments using hydrogen peroxide digestions and density separation techniques.</strong></li><li><strong>How to conduct recovery testing as a means of improving accuracy</strong></li><li><strong>Using complimentary techniques such as Pyrolysis coupled with GC/MS for analysis of nanoplastics</strong></li></ul><h5><strong>Key Learning Objectives:</strong></h5><ul><li><strong>Optimizing sample preparation</strong></li><li><strong>Suitability of LDIR for Microplastics analysis</strong></li><li><strong>Complimentary techniques for nano plastics analysis</strong></li></ul><h5><strong>Who Should Attend:</strong></h5><ul><li>Laboratory managers</li><li>Microplastics researchers</li><li>Principal investigators</li><li>Post Doctoral researchers</li><li>Microplastics analysts from commercial, QA, or research labs&nbsp;</li></ul><blockquote><p><strong>Presenter:</strong> Dr. Shuhei Tanaka (Associate Professor at the Graduate School of Global Environmental Studies, Kyoto, Japan)</p><p><strong>Presenter:</strong> Kelly McSweeney (Contributing Editor, C&amp;EN Media Group)</p></blockquote>

C&EN: Best Practice for LDIR Analysis of Microplastics: A Case Study from the Japan Trench

Best Practice for LDIR Analysis of Microplastics: A Case Study from the Japan Trench

We will explore the following topics while using a recent study of samples collected from the 8km deep Japan Trench.

Best Practice for LDIR Analysis of Microplastics

<p><strong>Join us as we dive into a common challenge faced by research facilities: managing the ever-growing mountain of measurement data. As a facility manager, you’re all too familiar with the constant juggling act of handling sample submissions, data collection, and distribution—all while trying to keep your workflows efficient and your focus on the science.</strong></p><p>In today’s data-driven landscape, adhering to the <strong>FAIR principles</strong>—making your data Findable, Accessible, Interoperable, and Reusable—is not just a best practice but a growing requirement for securing public funding. Funding bodies are increasingly looking for research facilities to demonstrate that their data management processes align with these principles.</p><p>That’s why we’re excited to introduce you to <strong>LOGS </strong>for Facilities, our comprehensive software solution tailored specifically for research facilities like yours. Supported by the powerful automation engine Mnova Gears, LOGS streamlines your entire workflow—from sample submission and automatic data processing to data distribution—into a single, seamless platform that adheres to the FAIR principles.</p><p>In today’s session, we’ll explore how LOGS can simplify your data management processes, helping you save time, reduce errors, and get back to what matters most: <strong>advancing your research by making your data findable - wherever you are.</strong></p><blockquote><p><strong>Presenter:</strong> Peter Bellstedt, PhD (Director of Business Development and Product Manager)</p><p>Peter studied Biochemistry at the University of Jena before completing a PhD on the structural characterization of a DNA repair protein using solution and solid-state NMR. He was then appointed as the head of the NMR Spectroscopy Platform in Jena, Germany, where he pioneered the implementation of modern, highly efficient data-driven workflows. After five years, he moved to the University of Zurich, Switzerland, as a principal investigator, where his lab focused on structure-based drug discovery. This year, he brought his wealth of experience to the LOGS by SciY team, focusing on efficient workflow solutions for research labs and facilities on a global scale.</p></blockquote>

Mestrelab Research: Integrating Measurement Requests, Data Collection, and Data Distribution in One Platform

Integrating Measurement Requests, Data Collection, and Data Distribution in One Platform

In today’s session, we’ll explore how LOGS can simplify your data management processes, helping you save time