<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

Article

Events

Webinars

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.

Eurachem

Everything from the world of analytical chemistry in one place. We connect people in solving their problems. At Labrulez you will find all the necessary information easily, quickly and clearly. Stop searching and start finding.

LabRulez

Anton Paar

Agilent Technologies

Bruker

Shimadzu Corporation

SCIEX

<p><strong>Accelerate discovery, make the right decisions, improve efficiency</strong></p><p>Single crystal X-ray diffraction (SC-XRD) provides detailed unambiguous structural information and plays a crucial role in the establishment of new drug targets and drives structure-based drug discovery, API synthesis, IND registration and new solid form development.</p><p>In-house SC-XRD has become substantially faster, simpler and more accessible due to developments in X-ray sources, detectors, crystallographic software and automation.</p><p>Modern instruments not only drive research, but their 24/7 accessibility and high uptime mean that they present a highly attractive ROI and can enhance the services provided by CROs.</p><p>This webinar will highlight the capabilities of state-of-the art in-house SC-XRD in drug discovery and development and explore the benefits of leveraging the right instrument for different research requirements. We will also consider how a modern SC-XRD facility can provide an attractive ROI and help improve your product quality.</p><p><strong>Which topics will be covered?</strong></p><ul><li>How in-house SC-XRD can accelerate target development and structure based drug discovery.</li><li>How SC-XRD can be more routinely applied to guiding API synthesis resulting in better decision making and more efficient syntheses</li><li>How easily SC-XRD can be applied to the development of novel and improved solid forms.</li><li>How the right in-house SC-XRD platform can be cost-effective across the development chain.</li></ul><p><strong>Who should attend?</strong></p><ul><li>Structural Biologists, Medicinal Chemists and Solid Form Scientists working in drug discovery and development: learn how modern in-house crystallography can drive your science.</li><li>Heads of Research, Managers and Directors: gain insight into how modern facilities can improve the quality and timeliness of your product, provide a solid return on investment, and even generate additional revenue for your company.</li></ul><blockquote><p><strong>Presenter: </strong>Dr. Vernon Smith (SC-XRD Business Development Manager, Bruker AXS)</p></blockquote>

Bruker: In-house crystallography – increasing efficiency in drug discovery and development

In-house crystallography – increasing efficiency in drug discovery and development

This webinar will highlight the capabilities of state-of-the art in-house SC-XRD in drug discovery.

In-house crystallography

<p><strong>This live webinar will focus on applying Automated Atomic Force Microscopy (AFM) in inline metrology of hybrid bonding in the semiconductor industry. Bruker’s fully automated AFM solutions&nbsp;enable the highly accurate, non-destructive, nanoscale characterization of surfaces, while delivering high-throughput data for inline process control and actionable data for hybrid bonding yield enhancement.</strong></p><div><p>In this webinar, we will illustrate how Automated AFM can be applied in the most current hybrid bonding technology nodes and wafer processing steps, and its suitability for labs and fabs working on new bonding device design. The following topics will be discussed:</p><ul><li>Key Automated AFM features for process control in high volume manufacturing of bonded wafers</li><li>High resolution imaging and analysis for critical bond pad metrology</li><li>Large-area scanning of areas of up to 100s of mm2&nbsp;for large scan topography in wafer-to-wafer bonding</li><li>Automated bevel edge metrology for hybrid bonding</li><li>Patterned and bare/blanket wafer defect review</li></ul><p>Don’t miss the opportunity to speak to our experts in the Q&amp;A session!</p><blockquote><p><strong>Presenter: </strong>Sean Hand (Senior Staff Applications Scientist, Bruker)</p><p>Sean Hand is a Senior Staff Applications Scientist with Bruker's Automated AFM group focused on the application of AFM to semiconductor manufacturing. Sean has an M.S. in physics from the University of Vermont where he focused on Atomic Force Microscopy of lipid bilayers for transdermal drug delivery. Sean has over 25 years of experience in AFM for semiconductor manufacturing and has co-authored over 20 papers and owns several patents related to Automated AFM in semiconductor manufacturing.</p><p><strong>Presenter: </strong>Ingo Schmitz, Ph.D. (Technical Marketing Engineer, Bruker)</p><p>Ingo Schmitz received his Ph.D. in Chemistry from the University of Technology, Vienna Austria in 1996. His Ph.D. work focused on the development of SPM-based in-situ characterization of corrosion processes of glass and metal surfaces. Since 1997, Ingo Schmitz works at Bruker (formerly Digital Instruments &amp; Veeco Instruments) in both Santa Barbara, USA. At Bruker, he held positions as an R&amp;D engineer and application development scientist and contributed in the development of SPM methods including automated surface characterization of polysilicon. Currently, he is working in the technical marketing of automated AFM systems.</p></blockquote><p>&nbsp;</p></div>

Bruker: Automated AFM for Inline Hybrid Bonding Metrology in the Semiconductor Industry

Automated AFM for Inline Hybrid Bonding Metrology in the Semiconductor Industry

Learn how automated AFM can be applied to the most current hybrid bonding technology nodes and wafer processing steps

Automated AFM for Inline Hybrid Bonding Metrology

<div><p><strong>Join us and our special guest speaker Dr. Thomas Stroh, Assistant Professor at Montreal Neurological Institute, McGill University, Canada, for this webinar on Nanoscopic Imaging of Neuroendocrine Regulatory Processes Using Super-Resolution Microscopy. Dr. Thomas Stroh is a leading researcher in the field of G protein-coupled receptors. His work focuses on studying the mechanisms governing the availability of receptors at the cell surface of neurons and of neuroendocrine cells, factors that can ultimately determine their sensitivity to transmitters, neuropeptides, and active agents.</strong></p><p>Don’t miss the opportunity to hear Dr. Stroh give an overview of his research and innovative work on:</p><ul><li>Using the super-resolution microscopy techniques dSTORM (direct Stochastic Optical Reconstruction Microscopy) and biplane SMLM (single molecule localization microscopy) to image neuroendocrine regulatory processes in the brain at the near-molecular level</li><li>Combining super-resolution microscopy with plasma hormone level testing to study receptor trafficking and synaptic remodeling in neuroendocrine circuits in pituitary cells and brain tissue</li><li>Quantification of synaptic remodeling under the influence of hormonal secretion cycles in mouse brains</li></ul><blockquote><p><strong>Presenter:</strong> Thomas Stroh, Ph.D. (Associate Professor, Montreal Neurological Institute, McGill University)</p><p>Assoc. Prof. Thomas Stroh has over 20 years of experience working in the fields of microscopy and neurobiology. In 2005, he established the Neuro Microscopy Core Facility of the Montreal Neurological Institute (The Neuro) of McGill University, which has since grown into a modern microscopy platform housing advanced microscopy ranging from live cell microscopy to fluorescence super-resolution microscopy. It currently serves &gt;50 laboratories from The Neuro, various McGill departments, other Montreal universities and industry. Dr. Stroh has taught in numerous workshops and microscopy summer schools, including the Montreal Light Microscopy Course and the Canadian Light Microscopy Course at the University of Calgary. Together with Dr. Claire Brown of McGill University’s Advanced BioImaging Facility (ABIF), he organized the first Canadian Quantitative Super-Resolution Microscopy Course at The Neuro in 2019. Dr. Stroh is on the Executive Board of the Canada BioImaging Network. His research focuses on studying the regulation and trafficking of G Protein-Coupled Receptors. More recently, the Stroh lab is combining highly sensitive plasma hormone level testing with super-resolution microscopy to study the effects of endogenous rhythms on synaptic connectivity and plasticity in the hypothalamus.</p></blockquote><div><div><div><h3>Presenter's Abstract</h3><h4>Nanoscopic Imaging of Neuroendocrine Regulatory Processes in the Hypothalamo-Pituitary Axis Using dSTORM</h4></div></div></div><div><div><div><p>Single molecule localization microscopy (SMLM) using direct Stochastic Optical Reconstruction Microscopy (dSTORM) enables the imaging of regulatory processes in the brain at the near-molecular level, which cannot be resolved using traditional fluorescence microscopy techniques. However, imaging brain samples is challenging due to the optical density of the samples. Nevertheless, suitable tissue clearing, biplane imaging to capture 3D data, as well as computational and statistical methods to differentiate between signal and noise can overcome these difficulties.&nbsp;</p><p>Here, we used biplane SMLM and dSTORM in combination with highly sensitive determination of plasma hormone levels to investigate receptor trafficking and synaptic remodeling within the hypothalamo-pituitary endocrine circuit in endocrine pituitary cells and brain tissue, respectively. In corticotropic pituitary cells, we identified a novel syntaxin-6 positive compartment that is distinct from the trans-Golgi-network (TGN) by dSTORM. This compartment facilitates the regulated recycling of the somatostatin receptor subtype 2 (SSTR2) to the cell surface following Corticotropin-Releasing Hormone stimulation, using nearest-neighbor analysis to determine the size of this compartment. In the hypothalamus, we used dSTORM to image synaptic connectivity and its remodeling in sections through the arcuate nucleus of the mouse hypothalamus in parallel with the pulsatile rhythm of Growth Hormone (GH) secretion, employing biplane imaging and the DBSCAN clustering algorithm. We observed that during peak GH secretion, there were more excitatory synapses at the somata of GH-releasing hormone (GHRH) neurons.</p><p>Conversely, during periods of low GH levels, inhibitory synaptic input increased on GHRH cells. The results presented here highlight biplane imaging and dSTORM as a valuable quantitative approach to study receptor trafficking and synaptic structure in neuroendocrine circuits. Using appropriate sample preparation, SMLM imaging techniques, and careful statistical analysis we achieved a nanometer-scale precision in identifying a novel compartment in the pituitary cells as well as imaging and quantifying synaptic remodeling under the influence of hormonal secretion cycles in mouse brain.</p></div></div></div></div>

Bruker: Nanoscopic Imaging of Neuroendocrine Regulatory Processes Using Super-Resolution Microscopy

Nanoscopic Imaging of Neuroendocrine Regulatory Processes Using Super-Resolution Microscopy

Using super-resolution microscopy to reveal the inner workings of neuronal and neuroendocrine cells.

Nanoscopic Imaging of Neuroendocrine Regulatory Processes

<p><strong>Innovating for the future with cutting-edge solutions</strong></p><p><strong>Given the speed and scale of progress with Artificial Intelligence (AI) in today’s world, researchers and professionals across various scientific fields from the Danaher group of companies have stepped up in the game of AI and advanced technology to seek breakthrough solutions to age-old problems.</strong></p><h3><strong>Agenda</strong></h3><h5><strong>Introduction to Danaher</strong></h5><h5><strong>3D biology and the paradigm shift in next generation drug discovery</strong></h5><ul><li>Presented by Molecular Device</li></ul><h5><strong>AIVIA - introduction to AI based image analysis</strong></h5><ul><li>Presented by Leica Microsystems</li></ul><h5><strong>Analytical advances in the characterization of mRNA</strong></h5><ul><li>Presented by Phenomenex</li></ul><h5><strong>Unlocking the power of data with IDBS</strong></h5><ul><li>Presented by IDBS</li></ul><h5><strong>The power of AI: from planning and the lab to success in life sciences</strong></h5><ul><li>Presented by Abcam</li></ul><h5><strong>Practical approaches to EV characterization and purification: leveraging nano Flow Cytometry and ultracentrifugation for clinical and commercial success</strong></h5><ul><li>Presented by Beckman Coulter Life Sciences</li></ul><h5><strong>AI-MS/MS-AI mass spectrometry application with AI</strong></h5><ul><li>Presented by SCIEX</li></ul><h5><strong>Work smarter, not harder: emerging lessons on data in biopharma R&amp;D</strong></h5><ul><li>Presented by Genedata</li></ul><h5><strong>In silico process development with mechanistic chromatography modelling</strong></h5><ul><li>Presented by Cytiva</li></ul><h5><strong>CRISPR meets NGS: the powerful duo for drug discovery</strong></h5><ul><li>Presented by IDT</li></ul><h3><strong>Presenter:</strong></h3><ul><li>Gokhale, Aarti Arun, Ph.D (Sr Manager, Gene Reading, APAC, IDT)</li><li>Teo Chong Kok Ph.D (Scientific Account Manager, Genedata)</li><li>Edward Lim (General Manager, SEA, Beckman Coulter Life Sciences)</li><li>Taryn Guinan, Ph.D (Sr Applications Specialist, ANZ, Leica Microsystem)</li><li>Edward Wong, Ph.D (Sr Manager, Gene Writing &amp; Editing, APAC, IDT)</li><li>Stephan Waldert, Ph.D (Director, Data Science &amp; AI, Abcam)</li><li>Manish Manakchand (Commercial Director, Asia, IDBS)</li><li>Namrata Saxena (Technical Manager, Phenomenex)</li><li>Hans Lin (Field Application &amp; Market Development Specialist, SCIEX)</li><li>Mok Wei Chuan (Go Silico Sales Specialist, APAC, Cytiva)</li><li>Minho Tak, Ph.D (Sr Application Scientist, JAPAC, Molecular Device)</li></ul>

SCIEX: AI and technology advancements from Danaher

AI and technology advancements from Danaher

In this live webinar, let’s explore how Danaher group of companies leverage AI and technologies in providing advanced solutions.

<p><strong>The complete Solution for Food Analysis: Presented by Retsch, CEM, Shimadzu and Eltra</strong></p><p>Accurate and rapid food analysis is becoming increasingly important as regulations become stricter and consumers become more demanding. This expert day on food analysis will give you a comprehensive overview of the optimal steps from sample preparation to analysis, familiarize you with modern methods and bring you up to date.</p><p>Registration is free of charge and without obligation.</p><div><h3><strong>Reproducible sample preparation for food analysis&nbsp;</strong></h3><p>Food occurs in different consistencies and is often inhomogeneous. For meaningful analysis, food laboratories require representative samples, which makes homogenization necessary as part of sample preparation.</p><p>Ideally, this step should involve as little work as possible. The prepared subsample must represent both the laboratory sample and the initial sample. This would not be the case with an inhomogeneous sample, as some components of the initial sample could be over- or under-represented.</p></div><h5><strong>In this webinar you will learn more about:</strong></h5><ul><li>Homogenization, standard deviation, correct analysis values</li><li>How do I find the optimal method for my sample</li><li>Cryogenic grinding (dry ice, liquid nitrogen)</li><li>Suitable laboratory mills for homogenizing foodstuffs</li><li>Live demos of selected mills</li><li>Application examples</li><li>Grain size determination using sieve analysis</li></ul><blockquote><p><span data-bind="expander:{'expandText': moreButtonText(), 'userCollapseText': lessButtonText(), 'text':getWebinarInfo().description}"><strong>Presenter:</strong> Dr. Tanja Butt, Dr. Lena Weigold and Dr. Gerhard Beckers</span></p></blockquote><p><span data-bind="expander:{'expandText': moreButtonText(), 'userCollapseText': lessButtonText(), 'text':getWebinarInfo().description}">This webinar is part of a series of four webinars (Retsch, CEM, Shimadzu, Eltra). Please register for the time slot of each company which fits best. Americas should select the second time slot, Asia the first. Each presentation by the different companies requires an own registration. Here you can select the time slot for Retsch. For the other companies you need to visit the landingpage.</span></p>

Reproducible sample preparation for food analysis

For meaningful analysis, food laboratories require representative samples, which makes homogenization necessary as part of sample preparation.

<p><strong>The complete Solution for Food Analysis: Presented by Retsch, CEM, Shimadzu and Eltra</strong></p><p>Accurate and rapid food analysis is becoming increasingly important as regulations become stricter and consumers become more demanding. This expert day on food analysis will give you a comprehensive overview of the optimal steps from sample preparation to analysis, familiarize you with modern methods and bring you up to date.</p><p>Registration is free of charge and without obligation.</p><div><div><h3><strong>Quick and easy sample preparation and analysis for food quality control</strong></h3><p>In the context of food analysis, microwave laboratory instruments can deliver precise results within minutes and are also extremely easy to operate.</p><p>In addition, toxic, corrosive and environmentally hazardous chemicals can be dispensed with, which in turn significantly increases occupational safety..</p></div><p><strong>CEM presents the following applicative solutions on the Big Four/Big Eight of food labeling, § 64 LFGB and for internal quality control:</strong></p><ul><li>Moisture and solids content</li><li>Fat content determination, chemical free and completely universal, according to ISO 16756</li><li>Protein content rapid analysis according to AOAC methods 967.12, 930.33, 930.29 und 2011.04</li><li>Ash content in just a few minutes</li><li>Saturated/unsaturated fatty acids (FAME)</li><li>Hydroxyproline content</li><li>Fast microwave digestion for element determination in nutrition</li><li>3-MCPD</li></ul><blockquote><p><strong>Presenter:</strong> Maxim Diel (CEM)</p></blockquote></div>

Quick and easy analysis with microwaves for food quality control

In the context of food analysis, microwave laboratory instruments can deliver precise results within minutes and are also extremely easy to operate.

Analysis with microwaves for food quality control

<p><strong>The complete Solution for Food Analysis: Presented by Retsch, CEM, Shimadzu and Eltra</strong></p><p>Accurate and rapid food analysis is becoming increasingly important as regulations become stricter and consumers become more demanding. This expert day on food analysis will give you a comprehensive overview of the optimal steps from sample preparation to analysis, familiarize you with modern methods and bring you up to date.</p><p>Registration is free of charge and without obligation.</p><div><div><div><div><div><h3><strong>Heavy metals and pesticides in highly processed&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</strong></h3><p>In the third part of the webinar series the focus is on analytics. Each step of food processing presents a source of contamination, which is why highly processed foods (ultra-processed foods (UPF)) should be viewed critically.</p><p>Heavy metals are analyzed using ICP-MS and pesticides using GCMS/MS and SFC-LCMS/MS. You have the opportunity to get in touch with device experts and discuss your questions.</p></div></div><p><strong>In this webinar, you will learn more about:</strong></p><ul><li>How to measure pesticides in difficult samples using LC-MS/MS and SFC-MS/MS</li><li>Determination of pesticides in food samples using GC-MS/MS with hydrogen as carrier gas</li><li>Challenges and solutions for heavy metal analysis</li><li>How much heavy metals are lurking in trend food products?</li></ul><p><strong>Presenters:</strong> Uwe Oppermann, Stéphane Moreau, Waldemar Weber and Johannes Hesper</p></div></div></div>

Heavy metals and pesticides in highly processed

Heavy metals are analyzed using ICP-MS and pesticides using GCMS/MS and SFC-LCMS/MS. 

<p><strong>The complete Solution for Food Analysis: Presented by Retsch, CEM, Shimadzu and Eltra</strong></p><p>Accurate and rapid food analysis is becoming increasingly important as regulations become stricter and consumers become more demanding. This expert day on food analysis will give you a comprehensive overview of the optimal steps from sample preparation to analysis, familiarize you with modern methods and bring you up to date.</p><p>Registration is free of charge and without obligation.</p><div><div><div><div><div><div><div><h3><strong>Rapid and Precise Protein and Carbon Analysis with the Elementrac CN-r According to Dumas</strong></h3></div><p>Protein analysis in the food sector is crucial for ensuring nutritional quality, accurate food labeling, and compliance with legal requirements. Additionally, it plays a significant role in quality control, product development, and cost control, thereby ensuring the integrity and nutritional value of the products.</p><p>In the field of food analytics, the Elementrac CN-r, with its modern protein analysis technology, enables rapid and precise measurements within minutes and is also extremely user-friendly. Furthermore, it eliminates the need for environmentally and health-hazardous chemicals, significantly improving workplace safety.</p><h5><strong>In this webinar, you will learn about:</strong></h5></div><ul><li>The advantages of the Dumas method over the classic Kjeldahl method</li><li>Benefits of the Elementrac CN-r to increase productivity in the lab while reducing workload</li><li>The operating principle of the CN-r</li><li>Suitable sample matrices for the CN-r</li><li>Which laboratories will benefit from switching to the Elementrac CN-r</li></ul></div></div></div></div></div>

Rapid and Precise Protein and Carbon Analysis with the Elementrac CN-r According to Dumas

The Elementrac CN-r, with its modern protein analysis technology, enables rapid and precise measurements within minutes and is also extremely user-friendly. 

Rapid and Precise Protein and Carbon Analysis in Food

<p><strong>An exclusive webinar on the Characterization of Textiles &amp; Fibers using Anton Paar’s advanced Surpass technology. Join us for an in-depth look at how this innovative solution can drive insights and improvements in fabric care applications.</strong></p><p><strong>What you will learn:</strong></p><ul><li>An introduction to surface charge on solid surfaces</li><li>The role of surface charges in various textile applications</li><li>Overview of Surpass and its functional components</li><li>Q&amp;A session</li></ul><blockquote><p><strong>Presenters: </strong>Dr. Rishi Gupta, Dr Wazed Ali (English)</p><p>Dr. Wazed Ali is an Associate Professor in the Department of Textile and Fibre Engineering at Indian Institute of Technology (IIT) Delhi. After obtaining his Master and PhD degree from IIT Delhi in 2006 and 2011 respectively, he joined GE (General Electric) India Technology Centre Pvt. Ltd. (JFWTC), Bangalore as a Research Scientist. Subsequently he moved to SABIC Research and Technology Pvt. Ltd, Bangalore and worked as a Scientist before joining IIT Delhi in 2014. He has been awarded the prestigious 'Commonwealth Split-Site Doctoral Fellowship' 2008 from the Commonwealth Fellowship Commission, London to pursue 1 year research work in the UK during his PhD studies. He was a recipient of the 'Bolton Fellowship' from the University of Bolton, UK for 3 year's PhD program at IIT Delhi. He was also awarded with 'Gold Medal' for his highest score in M.Tech in Fibre Science &amp; Technology from IIT Delhi in 2006. He has published several research papers in different international peer reviewed journals. He is a life member of the Indian Natural Fibre Society and regular reviewer of different peer reviewed international journals.</p></blockquote>

Anton Paar: Characterization of Textiles & Fibers using Surpass

Characterization of Textiles & Fibers using Surpass

Webinar on the Characterization of Textiles & Fibers using Anton Paar’s advanced Surpass technology.

<p><strong>Learn how the Agilent 4300 can easily assess coating ID, quality, authenticity and wear delivering an actionable result in less than 30 seconds.</strong></p><p>Coatings researchers and manufacturers are constantly striving to meet the ever-increasing demands on coating function, performance, and longevity.</p><p>From Aerospace to Automotive, marine, and architectural coatings the versatile Agilent 4300 handheld FTIR is ideally suited to the on-site Mid IR measurement of coatings on surfaces and large objects.</p><p>Knowledgeably assess factors such as identification, quality, authenticity and wear of your material or coating using the Agilent 4300 handheld FTIR.</p><p><strong>Who should attend:</strong></p><ul><li>Material scientists, coating manufacturers, manufacturers who use coatings within their manufacturing process</li></ul><blockquote><p><strong>Presenter: </strong>Donald Inglis (Product Specialist EMEAI for FTIR, Agilent Technologies)</p><p>Donald has worked in analytical instrumentation for over 30 years starting his career as a field service engineer in chromatography and mass spectroscopy before moving into commercial sales. Becoming a product specialist in portable, handheld FTIR and Raman systems over a decade ago at Agilent Technologies.</p></blockquote>

Agilent Technologies: Agilent 4300 Handheld Webinar Series

Coatings Evaluation by Handheld FTIR

Learn how the Agilent 4300 can easily assess coating ID, quality, authenticity and wear delivering an actionable result in less than 30 seconds.