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

Webinars LabRulezICPMS Week 07/2026

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.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.<blockquote><h4>The original article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c05398">Mineral Phase-Resolved Quantification in LA-ICP-MS Imaging</a></h4>Barbara Umfahrer, Jakub Buday, Pavel Pořízka, Jozef Kaiser, Paolo S. Garofalo*, and Detlef Günther*Anal. Chem. 2026, 98, 1, 581–589<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.analchem.5c05398">https://doi.org/10.1021/acs.analchem.5c05398</a><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.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>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.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.<h4>Materials and Methods</h4><h5>LA-ICP-TOFMS Imaging</h5>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 238U+/232Th+ intensity ratio of 1.0 to 1.1 on NIST SRM 610 and a 232Th16O+/232Th+ rate of below 0.5%.<h5>LIBS Imaging</h5>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.Data processing was done with Python 3.11.8 in the Spyder environment and included background correction and per-pixel z-score normalization.<h4>Results and Discussion</h4><h5>LIBS and XRD Measurements</h5>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.<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"><h5>Renormalization Based on Carbonates</h5>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 CO32– and its oxide equivalent O2– 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.<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">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.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.<h4>Conclusion</h4>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.The segmentation step, based on UMAP embedding and k-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.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.

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

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.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 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.<blockquote><h5>New Eurachem guidance on using in-house precision and recovery data will be discussed at the workshop.</h5></blockquote>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.<h3>Registration</h3><blockquote>👉<a target="_blank" rel="noopener noreferrer" href="https://conferences.chemistry.pt/register/eurachem2026">Register here for the workshop</a></blockquote><h4>Registration Fees</h4><h5>Early bird (EUR) - Until April 15th</h5><ul><li>Workshop: Regular participant (11 &amp; 12 May 2026): 400 EUR</li><li>Workshop: Student (11 &amp; 12 May 2026): 250 EUR</li><li>Eurachem Working Group1 (13 May 2026): 75</li><li>General Assembly2 (14 &amp; 15 May 2026): 250</li><li>Training On Uncertainty Evaluation3 (10 May 2026): 150</li></ul><h5>After April 15th</h5><ul><li>Workshop: Regular participant (11 &amp; 12 May 2026): 450 EUR</li><li>Workshop: Student (11 &amp; 12 May 2026): 300 EUR</li><li>Eurachem Working Group1 (13 May 2026): 100</li><li>General Assembly2 (14 &amp; 15 May 2026): 300</li><li>Training On Uncertainty Evaluation3 (10 May 2026): 200</li></ul><blockquote>§ - 50 EUR reduction for members of Eurachem, CITAC, SPQ, RELACRE, ForMEQ and SPMet at the workshop.10% reduction for organisations that registered more than one participant.1 - Working group members2 - Eurachem members3 - 50% reduction for workshop participants</blockquote><h3>Workshop</h3><h4>Eurachem/CITAC Workshop on Quality in Analytical Measurements:</h4><h5>Uncertainty Evaluation and Results Interpretation</h5>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.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.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.<h3>Training Course</h3><h4>Evaluation of the measurement uncertainty from in-house precision and recovery data</h4><ul><li>10 May 2026</li></ul>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.<h5>Trainers:</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>Agenda</h4><h5>8:00 Registration</h5><h5>9:00 Opening</h5><h5>9:05 Identifying, combining, and expanding uncertainty components: Theory and examples</h5><h5>9:45 Precision uncertainty: Theory and examples</h5><h5>10:30 Coffee break</h5><h5>10:50 Trueness-related uncertainty: Theory and examples</h5><h5>12:00 Additional questions and discussion</h5><h5>12:30 Lunch</h5><h5>13:30 Application example 1</h5><h5>15:30 Coffee break</h5><h5>15:50 Application example 2</h5><h5>17:00 Additional questions and discussion</h5><h5>17:30 Closing</h5><h3>Venue</h3>The series of Eurachem events will be held in:<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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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.

Eurachem

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This discussion will go in depth into how the fully integrated Auto Dilution System (ADS 2) can streamline your ICP-MS workflow. Eliminate bottles and bottle necks by automating the creation of Calibration and QC standards as well as intelligent handling of unknown samples.
Join us to learn how the ADS 2 can streamline your day-to-day ICP-MS workflow and improve your lab efficiency.
<blockquote>
Presenter: Bert Woods (Application Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Joined the Agilent ICP-MS team in 2004, with previous employment in the semiconductor industry with Dominion Semiconductor (IBM/Toshiba) and Micron. Bert is a 1997 Chemistry graduate of Radford University in Virginia and an avid Washington DC Sports fan.
</blockquote>

Agilent Technologies: Productive Analysis of High Matrix Samples using ICP-MS with the Integrated Advanced Dilution System

Productive Analysis of High Matrix Samples using ICP-MS with the Integrated Advanced Dilution System

This discussion will go in depth into how the fully integrated Auto Dilution System (ADS 2) can streamline your ICP-MS workflow. 

ICP-MS with the Integrated Advanced Dilution System

<ul>
<li>Overview of conventional DSC technology and molecular reorganization</li>
<li>Introduction to the Flash DSC and the novel chip sensor</li>
<li>Metastable materials</li>
<li>Flash DSC basic principles</li>
<li>Flash DSC application examples</li>
</ul>
In many technical processes, material behaviors depend on the applied heating or cooling rates. For example, when investigating crystallization behavior that occurs during the injection molding process, it is essential to replicate the heating rates experienced during the actual process. To perform such experiments, extremely high heating and cooling rates are required, which cannot be achieved using conventional DSC instruments. As a result, fast-scanning calorimetry was developed.
<h5>Fast-Scanning Calorimetry Using Flash DSC Technology</h5>
The Flash DSC uses innovative technology to perform fast-scanning calorimetry with ultra-high heating and cooling rates of up to 3,000,000 K per second, in the temperature range of -95 to +1000 °C. This allows measurements to be performed that are not possible using conventional DSC, often revealing hidden properties of a material. It is ideal for investigating rapid crystallization and reorganization behaviors.
Find out more about this fascinating technology in our live webinar. The presentation will conclude with a Q&amp;A, so don’t miss your chance to ask questions!
<blockquote>
Presenter: Nicolas Fedelich
</blockquote>
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With a background in chemical engineering, Nicolas joined METTLER TOLEDO in 2009 as an application specialist for Thermal Analysis. Before that, he gained expertise in different laboratories implementing, developing, and validating analytical methods in both the pharmaceutical and environmental fields. Nicolas also worked for three years in the field carrying out on-site customer training and providing expert thermal analysis application support. In his present position, Nicolas expertly uses, teaches, and supports DSC, TGA, TMA, and DMA instruments at the METTLER TOLEDO head office in Switzerland.
</blockquote>

METTLER TOLEDO: The Exciting World of Flash DSC 

The Exciting World of Flash DSC

Advanced Material Characterization by Fast-Scanning Calorimetry

Aquaporin (AQP) water channels facilitate water diffusion across lipid bilayers following an osmotic gradient. AQPs are especially important in renal water reabsorption. AQP2 in the renal collecting duct mediates fine-tuning of urine volume in response to the antidiuretic hormone arginine vasopressin (AVP).
AVP mediates plasma membrane insertion of AQP2 from an intracellular reservoir of AQP2 containing vesicles, which instantly increases water reabsorption and urine concentration. The vesicle population cannot be resolved via conventional fluorescent microscopy, therefore detailed information regarding the AQP2 vesicular population is still lacking.
Expansion microscopy (ExM) addresses challenges in resolving vesicle populations. Newly established 4.5x ExM can increase resolution to 60–70 nm. In this webinar, Dr. Lene Niemann Nejsum, Professor of Epithelial Physiology and Pathophysiology at Aarhus University, will present results showing that 4.5 ExM is an ideal approach to obtain detailed information regarding the AQP2 vesicle population. Using 4.5x ExM, spinning disk microscopy and image processing, Dr. Nejsum and her team detected AQP2 vesicles/endosomes. Using different markers of the endosomal system, they obtained detailed information of the cellular AQP2 shuttling itinerary.
Key learning objectives
<ul>
<li>Understand how Aquaporin mediated water transport across lipid bilayers</li>
<li>Gain insight into Studies of intracellular vesicles using Expansion Microscopy</li>
<li>Learn more about the Use of Andor BC43 with Deconvolution for ExM</li>
</ul>
Who should attend?
Both new and experienced Imaris and BC43 users interested in accelerating microscopy projects. The research is relevant across life science projects where visualizsation and analysis is required.
Certificate of attendance
All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.
<blockquote>
Presenter: Geraint Wilde (Business Manager - Life Science Microscopy, Oxford Instruments Andor)
</blockquote>
<blockquote>
Dr. Geraint Wilde attained a Ph.D. in Neuroscience in 1997 from the University of Southampton, UK, before holding a number of research positions. He focused on intracellular signalling and gene expression through live-cell imaging. Dr. Wilde eventually pursued a commercial career in microscopy and he joined Andor Technology in 2009, where he is now Product Manager for Microscopy Solutions.
</blockquote>
<blockquote>
Presenter: Dr. Lene Niemann Nejsum (Professor of Epithelial Physiology and Pathophysiology, Department of Clinical Medicine, Aarhus University)
</blockquote>
<blockquote>
Dr. Lene Niemann Nejsum is a Professor of Epithelial Physiology and Pathophysiology at Aarhus University, Denmark. She earned her PhD in Medicine in 2004, followed by a five-year postdoctoral position at Stanford University, and completed a Doctor medicinae in 2023 from Aarhus University. Her research focuses on epithelial function and aquaporin (AQP) water channels. Her lab investigates the AQP2 vesicle population in renal cells using advanced microscopy, achieving the first visualization of their 3D network. Additionally, her lab has discovered novel AQP functions in cellular morphology, adhesion, migration, and polarity—key mechanisms in cancer development and progression.
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SelectScience: The Cellular Itinerary of Renal Aquaporin-2 Shuttling with 4.5x Expansion Microscopy

The Cellular Itinerary of Renal Aquaporin-2 Shuttling with 4.5x Expansion Microscopy

Results showing that newly established 4.5 expansion microscopy is an ideal approach to obtain detailed information regarding the AQP2 vesicle population.

Renal Aquaporin-2 Shuttling with 4.5x Expansion Microscopy

Don’t want the complexity of a valve system for your ICP?
Come along to this webinar where you can find out how StepAhead can help you get analysis done quicker and save money!
<blockquote>
Presenter: Matthew Gregory (Applications Specialist, TEA, Thermo Fisher Scientific)
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<blockquote>
After graduating from the University of Surrey with an MChem in Chemistry, Matthew has gained 20 years’ experience of trace elemental analysis in industry, working in environmental and precious metal research laboratories. In 2018, Matthew joined Thermo Fisher Scientific as an Applications Specialist for the Trace Elemental Analysis product range in the UK and Ireland.
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<blockquote>
Presenter: David Fishwick (Applications Specialist, TEA, Thermo Fisher Scientific)
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<blockquote>
David joined Thermo in 2022 as an Applications Specialist for the Trace Elemental Analysis product range in the UK and Ireland. Prior to joining Thermo, David has gained experience of trace elemental analysis and chromatography in industry, working in GMP, GLP and UKAS accrediated R&amp;D and pharmaceutical laboratories. David holds a BSc in Chemistry from Bangor University. 
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Thermo Scientific: Increasing Lab Productivity with Thermo Scientific iSC-65 with StepAhead for ICP

Increasing Lab Productivity with Thermo Scientific iSC-65 with StepAhead for ICP

Find out how StepAhead can help you get analysis done quicker and save money!

Increasing Lab Productivity with Thermo Scientific iSC-65

Elemental impurities are trace metals or elements that can be present in pharmaceuticals, impacting product safety and efficacy.
USP General Chapter &lt;232&gt; provides guidelines for controlling elemental impurities in pharmaceuticals, ensuring they meet acceptable levels for human consumption. Compliance with USP &lt;232&gt; is crucial for regulatory approval and maintaining product quality and safety.
Register to attend this Webinar and learn:
<ul>
<li>Elemental impurities as per USP 232/USP 233 and ICHQ3D
</li>
<li>Dive into the innovation that powers USP-232 guidelines
</li>
<li>Agilent&#39;s MH software with Agilent&#39;s complete workflow solutions
</li>
<li>Basic maintenance and early maintenance feedback of ICP-MS
</li>
</ul>
<blockquote>
Presenter: Dr. Kuldeep Sharma (Sales Development Manager - Pharma, Agilent Technologies)
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<blockquote>
Kuldeep Sharma has over 19 years of experience in area/s of Bioanalytical research, Drug metabolism &amp; pharmacokinetics and Pharma regulatory compliance. He has accomplished PhD in Biotechnology. His professional journey covers over 12 years in Analytical research (associated with R&amp;D’s of Zydus Cadila, Lambda, Pliva and Jubilant Biosys) and last 7 years in analytical instruments sales, marketing &amp; business development. With over 21 research articles published in international Journals, He presents convention of continues learning.
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<blockquote>
Presenter: Mr. Radhey Shyam (Application Specialist - Spectroscopy, Agilent Technologies)
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<blockquote>
Radhey Shyam is an Application Scientist responsible for Elemental Spectroscopy Solutions at Agilent Technologies at Centre of Excellence (COE) Lab, Manesar. He has been assisting in the development of new methods and applications, as well as providing training and educational activities for customers across various sectors on spectroscopy solutions and technologies for the past 10+ years. He has authored several publications in international journals. In addition, he has also contributed to global application and solution notes from Agilent, with a focus on spectroscopy Market.&quot;
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<blockquote>
Presenter: Mr. Ankush Sharma (Regional Marketing Program Manager- APAC (Pharma &amp; Biopharma), Agilent Technologies)
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<blockquote>
Ankush Sharma is a seasoned professional with over 12 years of extensive experience in sales and marketing across the pharmaceutical and biopharmaceutical sectors. His professional journey commenced with a strong educational foundation, earning a Master&#39;s degree in Biotechnology. Building upon this knowledge, he furthered his academic pursuits by obtaining a Master&#39;s in Business Administration with a specialization in Sales and Marketing, demonstrating his commitment to blending scientific understanding with strategic business acumen. For the past five years, he has been an integral part of Agilent, serving as the Regional Marketing Program Manager for the India and now Asia-Pacific (APAC) region for Pharma and Biopharma Markets.
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Agilent Technologies: Demystifying USP & ICHQ3D Guidelines for Elemental Impurities

Demystifying USP & ICHQ3D Guidelines for Elemental Impurities

Elemental impurities as per USP 232/USP 233 and ICHQ3D.

Demystifying USP & ICHQ3D Guidelines for Elemental Impuritie

Isotope fingerprints of nitrogen, carbon and sulfur are a powerful tool to interpret the diet, movement, and mobility of populations in archaeology and ecology studies. Typical sample materials are bone collagen or dentine. The challenge for sequential δ15N, δ13C and δ34S analysis of such samples is driven by extremely low concentration of sulfur (typically &lt;0.3 weight % S), and the samples are often rare and size limited.
This presentation will describe how we have optimized our Thermo Scientific EA IsoLink System with the new High Performance Kit for sulfur analysis to allow for high precision and accuracy NCS analysis. 
Here we will focus on hardware optimization and instrument maintenance to reduce SO2 carry-over, and the High Sensitivity Method setup that allows for SO2 pre-concentration.
What you will learn:
<ul>
<li>Introduction to the elemental analyzer workflow</li>
<li>System hardware optimization via High Performance Kit for sulfur analysis</li>
<li>High Sensitivity Method setup for NCS analysis</li>
<li>Analysis setup and data evaluation using Thermo Scientific Qtegra ISDS Software</li>
<li>Maintenance procedures for the EA IsoLink IRMS system</li>
</ul>
Who should join:
<ul>
<li>Scientists and chemists interested in elemental analysis </li>
<li>Lab managers and analysts that have analytical challenges in CNS elemental analysis of collagen samples or similar</li>
<li>Research laboratories that want to learn about expending their analytical capabilities</li>
</ul>
Can&#39;t join at this time? Register anyway to receive a link to the recording to watch at your convenience
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Presenter: Dr. Meike Fischer (Product Specialist, EA-IRMS, Thermo Fisher Scientific)
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After completing her PhD at the Max Planck Institute for Solar System Research, in collaboration with the Geoscience Center Göttingen, Germany, Meike joined Thermo Fisher Scientific, Bremen in 2021 as a Product Evaluation Specialist and supported development of the new software for gas IRMS – Thermo Scientific Qtegra ISDS Software. Since 2022 Meike has taken on a Product Specialist role focusing on elemental analyzer instrumentation and gas equilibration analysis, developing applications and methods for isotope analysis in a variety of fields.
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Thermo Fisher Scientific: Improved EA-IRMS NCS workflow for archaeology and ecology applications

Improved EA-IRMS NCS workflow for archaeology and ecology applications

Optimized Thermo Scientific EA IsoLink System with the new High Performance Kit for sulfur analysis to allow for high precision and accuracy NCS analysis.

EA-IRMS NCS for archaeology and ecology applications

X-ray emission spectroscopy (XES) has wide ranging element-selective chemical sensitivity to characterize valence, spin-state, ligand bonds, and more. New developments in laboratory XES instrumentation enable routine sample testing. In conjunction with laboratory X-ray absorption spectroscopy (XAS), the laboratory XES systems are finding wide ranging applications in environmental science, energy storage, and more.
In this session, we will highlight laboratory XES capabilities in two energy regimes: hard X-ray (4.5-20 keV) and tender X-ray (2-5 keV). Across these regimes, element-selective capabilities enable analysis of 3rd row transition metals, sulfur, phosphorus, and more. Join to learn more about the wide ranging capabilities and applications of X-ray emission spectroscopy.
Key Learning Objectives:
<ul>
<li>Introduction to X-ray Emission Spectroscopy and its unique capabilities for materials characterization.</li>
<li>Detailed look into example applications of laboratory XES.</li>
<li>Overview of new lab-scale XES instrumentation.</li>
<li>Understanding the process of conducting a laboratory XES measurement, including a real-time measurement demonstration.</li>
</ul>
Who Should Attend:
<ul>
<li>Research Scientists from Universities or Industries that routinely perform materials characterization.</li>
<li>Materials Characterization Lab Managers and Users interested in understanding new techniques.</li>
<li>Those interested in element-specific, non-destructive material analysis.</li>
</ul>
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Presenter: Dr. William Holden (CTO and Co-founder, easyXAFS)
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Presenter: Dr. Zachary Lebens-Higgins (Testing and R&amp;D Manager, easyXAFS)
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Presenter: Dr. Paul Aronstein (Applications Scientist, easyXAFS)
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Presenter: Melissa O&#39;Meara (Forensic Science Consultant, C&amp;EN Media Group)
</blockquote>

C&EN: Materials Characterization with Lab X-ray Emission Spectroscopy (XES)

Materials Characterization with Lab X-ray Emission Spectroscopy (XES)

We will highlight laboratory XES capabilities in two energy regimes: hard X-ray (4.5-20 keV) and tender X-ray (2-5 keV).

Lab X-ray Emission Spectroscopy (XES)

Near Infrared (NIR) spectroscopy is fast, non-destructive, and simple to use, making it an excellent choice for any QC laboratory. If you have not thought about it before, now is the perfect time to take a closer look. Why should you care?
Recent innovations make it easier to get started, deliver results even faster and make workflows more efficient.
In this webinar, we will be looking at some of these innovations. After a quick recap of the basics of NIR spectroscopy, Dr. Dave van Staveren and Dr. Nicolas Rühl will show features like automatic model development, precise temperature control at the sample, and more that literally bring good vibrations to the QC laboratory. The presenters use examples from the food, polymers, and petrochemical industries to illustrate the practical benefits of these innovations.
Join us on 5 September for an inspiring webinar!
Key learnings of this webinar:
<ul>
<li>The basic principles of NIR spectroscopy</li>
<li>How recent hardware and software innovations make NIRS easier to implement and use this technique in your daily lab work</li>
<li>Application examples from the food, chemical, and petrochemical industry</li>
</ul>
Who should attend?
Laboratory managers, QC managers, laboratory technicians.
<blockquote>
Presenter: Dr. Nicolas Rühl (Product Manager Spectroscopy, Metrohm AG, Herisau)
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<blockquote>
Dr. Nicolas Rühl is working in the Competence Center Spectroscopy since 2015. In this time, he has been in charge of developing the near-infrared (NIR) spectroscopy business at Metrohm. Nicolas has a Master in Business Administration and received his PhD in physical chemistry on single-molecule spectroscopy using Vis-NIR and Raman spectroscopy technologies.
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<blockquote>
Presenter: Dr. Dave van Staveren (Head of Competence Center Spectroscopy, Metrohm International Headquarters)
</blockquote>
<blockquote>
Dr. Dave van Staveren completed his university graduate work in the area of bio-inorganic chemistry with a strong focus on various spectroscopic methods. He has held several positions in Product Management and has been in charge of NIR Product Management and Application Development at Metrohm since 2016.
</blockquote>

Metrohm: Latest Innovations in Near-Infrared Spectroscopy and how they can be a Game Changer for your Routine Analysis

Latest Innovations in Near-Infrared Spectroscopy and how they can be a Game Changer for your Routine Analysis

After a quick recap of the basics of NIR spectroscopy, we will show automatic model development, precise temperature control, and more.

Latest Innovations in Near-Infrared Spectroscopy

Join this exclusive webinar to discover advanced strategies for enhancing the quality of lentiviral (LV) vectors in cell therapy manufacturing.Quality defects in LV vectors can significantly affect the efficacy and safety of final cell therapies. Despite their critical importance, there has been minimal focus on controlling and monitoring the quality of LV vectors used in cell therapy manufacture. Of particular concern is the risk of ‘breakthrough expression’ of the transgene, leading to CAR expression in producer cells and on the surface of the LV particle.&nbsp;&nbsp;In this webinar, Lentitek will demonstrate how its promoter system is designed to significantly reduce breakthrough expression of the transgene in producer cells, maximizing the functional LV titer during anti-CD19 CAR vector production. Additionally, the webinar will showcase the Leprechaun platform from Unchained Labs, which promises precise identification and monitoring of CAR expression on the LV surface. This webinar is essential for professionals dedicated to improving quality and safety of cell therapies.<blockquote>Presenter: Dr. Alex Shephard (Market Manager, Cell Therapy, Unchained Labs)Presenter:&nbsp;Dr. Adam Inche (Founder &amp; CEO, Lentitek)</blockquote>

Unchained Labs: Preventing the danger of unwanted CAR expression during lentivirus production

Preventing the danger of unwanted CAR expression during lentivirus production

Join this exclusive webinar to discover advanced strategies for enhancing the quality of lentiviral (LV) vectors in cell therapy manufacturing. 

Preventing danger of unwanted CAR expression

<h5>The Problem</h5>Characterizing ADCs can feel like reinventing the wheel when methods aren’t flexible enough to keep up with high-throughput analysis of different antibody-drug combinations or reaction conditions. ADC characterization usually involves a combination of several HPLC methods, but HPLC often takes too long, requires too much sample, or needs too much optimization to work with every candidate.<h5>The Solution</h5>Stunner makes high-throughput reads on 2 μL of sample to gather three key datapoints on up to 96 ADCs at-a-time. Keep an eye on antibody concentration, check the drug-antibody ratio (DAR), and watch out for aggregation – all in only two minutes per sample.<h5>The Proof</h5>In this seminar, we’ll show how Stunner characterized 6 model ADCs created from 1 mAb and 3 payload/linker combinations reacted at 2 molar ratios. We’ll explain how Stunner’s Unmix algorithms break down UV/Vis absorbance spectra into their component parts to quantify total protein and drug payload. We’ll also show how flexible that analysis is when it is taught new user-created reference spectra.<blockquote>Presenter: Andree Mueller (Senior Product Manager for Aunty and Honeybun, Unchained Labs)Presenter:&nbsp;Kevin Lance, PhD (Director, Product Management, Unchained Labs)Kevin Lance directs product management and covers the Stunner portfolio globally at Unchained Labs. His expertise includes biophysical characterization of viral vectors, lipid nanoparticles, proteins, and nucleic acids. Prior to Unchained Labs, his research experience covered the fields of sustained antibody delivery and nanotechnology. He earned his Ph.D. in Bioengineering from the joint UC Berkeley – UCSF Bioengineering Graduate Program.</blockquote>

Unchained Labs: Lose the lag with high-throughput and flexible ADC analysis on Stunner

Lose the lag with high-throughput and flexible ADC analysis on Stunner

Learn how Stunner enables rapid ADC characterization—measuring concentration, DAR, and aggregation from 2 μL samples in minutes, across up to 96 ADCs.