<h3>Lunch &amp; learn tips &amp; tricks series 2026 – part 1</h3>In modern analytical laboratories, efficiency, consistency, and data confidence are essential. Whether you are operating an ICP-OES or ICP-MS system, the way you use your software can significantly influence productivity and analytical performance. In the first session of our Lunch &amp; Learn Tips &amp; Tricks Series, we focused on one of the most common themes raised by users: how to navigate <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/1489">Qtegra </a>software more effectively and optimize everyday workflows.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Thermo_Fisher_Scientific_Mastering_Qtegra_Software_Practical_Strategies_to_Improve_Your_Daily_Lab_Workflow_3d35454782.jpg" alt="Thermo Fisher Scientific: Mastering Qtegra Software: Practical Strategies to Improve Your Daily Lab Workflow" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Thermo_Fisher_Scientific_Mastering_Qtegra_Software_Practical_Strategies_to_Improve_Your_Daily_Lab_Workflow_3d35454782.jpg 245w," sizes="100vw" width="1024" height="512">This session explored three key areas in detail: understanding the structure of Qtegra and the Configurator, using the Dashboard as your operational control center, and building smarter, more efficient LabBooks. Below is a structured recap of the key insights shared during Part 1.<h3>Understanding the structure of Qtegra</h3>One of the most valuable features of Qtegra software is its consistency across multiple instrument platforms. Whether you are working with the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products?category=227&amp;instrumentationItems=84&amp;manufacturerItems=3&amp;search=icap+pro">iCAP PRO ICP-OES</a>, the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products?category=232&amp;instrumentationItems=83&amp;manufacturerItems=3">iCAP MX ICP-MS</a>, the iCAP 7000 OES, or Qnova ICP-MS systems, the interface and workflow logic remain familiar. This consistency reduces the learning curve when transitioning between instruments and supports standardised training across laboratories.Qtegra consists of two primary components: the Qtegra application itself and the Configurator.<ul><li>The Qtegra application is where you directly interact with your instrument. It is used to create LabBooks, control the instrument, execute analyses, and review results.</li><li>The Configurator, in contrast, defines how your system behaves at a deeper level. It controls system-level settings that underpin daily operation. Within the Configurator, users can manage features such as Fast Uptake setup, drain sensor configuration, wavelength libraries for ICP-OES systems, the Reaction Database for ICP-MS systems, and user access permissions.</li></ul>Understanding the distinction between these two components helps users troubleshoot more effectively and ensures that system configuration aligns with laboratory requirements.<h3>Using the dashboard as your central hub</h3>When Qtegra is opened, the first screen presented is the Dashboard. The Dashboard functions as the central hub for instrument monitoring and control. From this location, users can view instrument status, monitor live operating parameters, access tuning tools, review performance checks, and identify error or interlock notifications.<ul><li>For ICP-OES users, the Dashboard provides access to tune sets, source settings, AutoPeak alignment, autotuning functions, and live views such as Plasma TV. These tools allow users to confirm that the plasma and optical system are performing as expected before analysis begins.</li><li>For ICP-MS users, the Instrument tab within the Dashboard provides access to autotune routines, performance report summaries, gas flow settings, nebuliser adjustments, operating mode selection such as Standard, KED, or CCT modes, IntelliLens control, and real-time data streams.</li></ul>The Dashboard should be used as a structured checkpoint before running any analysis. Confirming that all parameters are within acceptable ranges reduces the likelihood of interruptions and supports consistent performance throughout the run.<h3>The get ready workflow: structured instrument preparation</h3><ul><li>The Get Ready function, which is launched directly from the Dashboard, provides a guided preparation workflow. This feature is designed to ensure that the instrument is fully configured and operating correctly for the selected method before analysis begins.</li><li>Within Get Ready, users can access scheduling tools that automate warmups, standby routines, shutdowns, and maintenance checks. These tools are particularly beneficial for laboratories operating multiple shifts or managing variable workloads.</li></ul>For ICP-MS systems, the Get Ready workflow includes automated performance checks, autotune routines, and controlled warm-up conditions. These routines verify that the instrument is operating within its expected performance range.By following the structured steps within Get Ready, laboratories can reduce the risk of missed preparation tasks and maintain day-to-day analytical consistency.<h3>Building smarter LabBooks</h3>The LabBook forms the foundation of every analytical sequence in Qtegra. A carefully constructed LabBook improves efficiency, reduces setup errors, and simplifies data review.Users can create a LabBook from scratch or begin with a template. Templates are particularly useful for laboratories that integrate with LIMS systems or import sample lists via CSV files, as they promote standardisation and consistency.<h4>Defining analytes</h4><ul><li>For ICP-OES methods, users must select appropriate wavelengths and evaluate potential spectral interferences.&nbsp;</li><li>For ICP-MS methods, users select the required masses, consider isobaric and polyatomic interferences, and use the Reaction Database to support reaction mode selection.</li></ul>Careful analyte selection at this stage helps prevent complications later in the analytical workflow.<h4>Configuring acquisition parameters</h4>Acquisition parameters define how the instrument collects data.<ul><li>For ICP-OES systems, this includes selecting viewing modes, choosing wavelength ranges such as iFR or eUV, and defining integration times.</li><li>For ICP-MS systems, this includes selecting operating modes such as Standard, KED, or CCT, configuring Reaction Finder options, enabling Intelligent Matrix Handling, and defining digital trigger settings.</li></ul>Thoughtful parameter configuration ensures that data quality objectives are met without unnecessary reanalysis.<h4>Using intelligent uptake and rinse</h4>The Intelligent Uptake and Rinse feature detects when the sample or rinse solution reaches the nebuliser. This ensures consistent timing across samples and improves overall throughput. In high-throughput environments, this feature contributes to both efficiency and reproducibility.<h4>Calibration and quantification strategy</h4>Calibration design is central to reliable quantification. Qtegra allows users to manage global standards, configure dilution tools, select calibration fit types, assign internal standards, and establish quality control samples.For ICP-OES systems, users can define standard ranges and switch points. For SemiQuant workflows, Relative Sensitivity Factors can be applied.Establishing these parameters during LabBook creation ensures that data validation is straightforward once analysis is complete.<h4>Autosampler and sample list setup</h4>For laboratories using the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/1715">iSC-65 autosampler</a>, features such as StepAhead, custom rack definitions, colour-coded sample views, and visual integrity checks support efficient sequence management.When constructing the sample list, users should clearly define sample types, establish a logical sequence order, and configure column layouts appropriately. Setting flags and limits during initial setup simplifies the data review process and supports quality assurance.<h3>Why workflow optimisation matters</h3>Optimising Qtegra usage does not require learning new software features. Instead, it involves using existing tools more strategically. By treating the Dashboard as a pre-run checkpoint, using Get Ready consistently, and constructing LabBooks with long-term efficiency in mind, laboratories can reduce downtime, improve reproducibility, and strengthen confidence in analytical results.<h3>Looking ahead to part 2</h3><blockquote>In Part 2 of the Qtegra Tips &amp; Tricks series, we will focus on post-analysis best practices. Topics will include interpreting signal intensities, reviewing calibration performance, evaluating recoveries and readbacks, applying flags effectively, exporting data, and implementing practical workflow improvements discussed in Part 1.</blockquote>By building a structured approach to both preparation and data review, laboratories can transform routine analysis into a streamlined, reliable, and repeatable process.We look forward to continuing the discussion in Part 2.<h5>Acknowledgement</h5>I would like to thank Matthew Gregory Field Applications Scientist, North EMEA, Trace Elemental Analysis and David Fishwick Field Applications Scientist, North EMEA, Trace Elemental Analysis for the support on this blog and the webinars<h4>Sign up for our webinars live and on demand.</h4>English<ul><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5795">Lunch and Learn Tips and Tricks Series: Qtegra Part 1</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5976">Lunch and Learn Tips and Tricks Series: Qtegra Part 2</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5977">Lunch and Learn Tips and Tricks Series: Trace Elemental Analysis (ICP-OES &amp; ICP-MS)</a></li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5978">Trace Elemental Analysis: Ask the Expert</a></li></ul>Deutsch<ul><li>19. März 2026 <a target="_blank" rel="noopener noreferrer" href="https://event.on24.com/wcc/r/5179134/393E071E3B501943730958BA6203F477">Interne Standards in der ICP-OES: Ein Praxisguide für zuverlässige Qualitätssicherung im Labor</a></li><li>18. Juni 2026 <a target="_blank" rel="noopener noreferrer" href="https://event.on24.com/wcc/r/5179292/AE4C576B6A54D1AC182F7F77573D380F">Fehler reduzieren, Durchsatz steigern: Autoverdünnung mit PrepFast am ICP-MS</a></li><li>17. September 2026 <a target="_blank" rel="noopener noreferrer" href="https://event.on24.com/wcc/r/5179423/B5019C560431BADCA2A76E54E4EFE56F">ICP-OES smarter nutzen: Probendurchsatz erhöhen, Ressourcen sparen</a></li><li>17. Dezember 2026 <a target="_blank" rel="noopener noreferrer" href="https://event.on24.com/wcc/r/5179530/94EEDD1F56138F5EEE2AF24E29E6C12A">Qtegra ISDS Software Unlocked – Live im Expertengespräch</a></li></ul>Visit us on&nbsp;<a target="_blank" rel="noopener noreferrer" href="https://www.linkedin.com/showcase/72003132/admin/dashboard/">LinkedIn:</a>&nbsp;#Qtegra, #ICPMS, #ICPOES, #TraceElementalAnalysis<blockquote><h5>Petra Gerhards</h5>Petra Gerhards, Dipl-Ing, is Regional Marketing Manager of GC and GC-MS for EMEA at Thermo Fisher Scientific. She has more than 29 years of experience in the fields of GC-MS, SPE and LC-MS. Since joining the regional team she has contributed to workflow solutions combining vials and closures with SPE solutions, GC-MS and LC-MS. She works with KOL's on data for regional specific marketing campaigns, organizes in-house seminars and works on customer specific solutions. Her main expertise is in the field of doping and drugs-of-abuse analysis.</blockquote>

Mastering Qtegra Software: Practical Strategies to Improve Your Daily Lab Workflow

In the week from March 30, 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 5 500 GC, LC, MS and spectroscopy webinars.</blockquote><h5>1. Bruker: MALDI Imaging Becomes IR-resistible: Going Multimodal for Advanced Biomedical Insights</h5><ul><li>Mo, 30.3.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5971">Registration</a></li></ul>Explore advanced multimodal imaging with MALDI, QCL-based IR, and fluorescence microscopy to achieve ROI-focused molecular insights in complex tissues.<h5>2. LECO: Moisture and LOI Determination in Cement, Fly Ash, Gypsum, and Lime</h5><ul><li>Tu, 31.3.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5972">Registration</a></li></ul>Learn how TGA supports accurate moisture and LOI determination in cement, fly ash, gypsum, and lime, ensuring quality control and compliance with ASTM methods.<h5>3. Thermo Fisher Scientific: FTIR microscopy: Practical guidance for effective sample analysis</h5><ul><li>Tu, 31.3.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6088">Registration</a></li></ul>Join this webinar to gain practical guidance on FTIR microscopy workflows, including measurement modes, sample preparation, parameter optimization and spectral interpretation.<h5>4. Bruker: Understanding Polymer Reactions and Degradation with FT-IR and EPR Spectroscopy</h5><ul><li>Tu, 31.3.2026 17:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5996">Registration</a></li></ul>Discover how FT-IR and EPR spectroscopy reveal polymer curing kinetics and radical-driven mechanisms—enabling real-time monitoring, degree of cure quantification, and stability studies.<h5>5. Agilent Technologies: Fueling Accuracy: ICP-OES Analysis for Organic Biofuel and Renewable Fuel Feedstocks</h5><ul><li>Tu, 31.3.2026 20:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6043">Registration</a></li></ul>This webinar provides a practical overview of setting up ICP-OES instrumentation for organic sample analysis.<h5>6. C&amp;EN: Overcoming Raman Microscopy Challenges in Microplastics and Life Sciences</h5><ul><li>We, 1.4.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6016">Registration</a></li></ul>Learn how O-PTIR spectroscopy overcomes fluorescence limitations in Raman microscopy. Discover simultaneous sub-micron IR and Raman analysis for microplastics, biological samples, and organic materials.<h5>7. SPECTRO Analytical Instruments: AI-Driven Semiquantitative ICP-OES Analysis: Introducing SPECTRO AI QUANT</h5><ul><li>Th, 2.4.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6090">Registration</a></li></ul>This live webinar introduces an AI-driven approach that streamlines semiquantitative analysis across a wide range of sample types.<h5>8. Anton Paar: Extensional Rheology of Polymers: Air Bearing Rheometer Applications</h5><ul><li>Th, 2.4.2026 18:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5800">Registration</a></li></ul>Learn why extensional rheology is essential for polymer processing. See real measurements, core concepts, and practical examples, and explore SER and UXF solutions for elongational flow testing.<h5>9. Agilent Technologies: Heavy Metal Elements in Food Spices: A Critical Analysis Using ICP-MS and ICP-OES Techniques</h5><ul><li>Th, 2.4.2026 19:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/6044">Registration</a></li></ul>This session discusses techniques for determination of heavy metals in food by ICP-OES and ICP-MS.

Webinars LabRulezICPMS Week 14/2026

<h4>1 - What is fitness for purpose?&nbsp;</h4>The test meets the necessary performance criteria for a clinical binary examination to ensure it is suitable for making accurate and reliable clinical decisions in the intended patient population. Among others, performance criteria include clinical sensitivity and clinical specificity.&nbsp;<h4>2 - How to assess clinical performance?&nbsp;</h4>Assessing the clinical performance of a binary examination, stating results as 'positive' or 'negative,' involves calculating the examination's Clinical Sensitivity and Clinical Specificity. From the physician's point of view, clinical performance is evaluated by using predictive values, i.e., how likely is it that a positive or negative result corresponds to the presence or absence of the condition, which is also influenced by the prevalence of the condition in the population being tested.&nbsp;<h4>3 - What is Clinical Sensitivity?&nbsp;</h4>Clinical sensitivity (SS), also known as the True Positive Rate, measures the proportion of true positives correctly identified by the test. Data from a group of subjects who have been confirmed to have the disease or condition through diagnosis or a gold standard test (D1 in Table 1) are needed to calculate clinical sensitivity.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Table_1_2x2_Contingency_table_for_clinical_diagnosis_241735a171.jpg" alt="Eurachem: Table 1. 2x2 Contingency table for clinical diagnosis." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Table_1_2x2_Contingency_table_for_clinical_diagnosis_241735a171.jpg 245w," sizes="100vw" width="1401" height="461">The formula for clinical sensitivity is:&nbsp;SS = tp / (tp + fn), with:&nbsp;<ul><li>tp, True Positives are the cases where the test correctly identifies the presence of the disease.&nbsp;</li><li>fn, False Negatives are the cases where the test incorrectly identifies the absence of the disease when it is actually present.&nbsp;</li></ul>Table 1 represents the components of clinical sensitivity and specificity. Figure 1 illustrates an example of the overlapping of the number of components. The symbol "∩" represents the intersection of groups. For example, D1∩n denotes the set of negative results obtained for known positive cases, i.e., false negatives.<h4>4 - What is Clinical Specificity?&nbsp;</h4>Clinical Specificity (SP), also known as the True Negative Rate, measures the proportion of true negatives correctly identified by the test. Data from a group of subjects who have been confirmed not to have the disease or condition through a gold standard test (D0 in Table 1) are needed to calculate clinical specificity.The formula for clinical specificity is:&nbsp;SP = tn / (tn + fp), where:&nbsp;<ul><li>tn, True Negatives are the cases where the test correctly identifies the absence of the disease.&nbsp;</li><li>fp, False Positives are the cases where the test incorrectly identifies the presence of the disease when it is actually absent.&nbsp;</li></ul><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Figure_1_Graphical_representation_of_an_example_of_85ab82a16b.jpg" alt="Eurachem: Figure 1. Graphical representation of an example of tp (D1∩p), tn (D0∩n), fn (D1∩n), and fp (D0∩p). " srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Figure_1_Graphical_representation_of_an_example_of_85ab82a16b.jpg 245w," sizes="100vw" width="1300" height="736"><h4>5 - How to calculate the uncertainty of clinical sensitivity and specificity?</h4>Calculating clinical sensitivity and specificity uncertainty involves statistical methods that estimate each parameter's confidence interval (CI). These intervals provide a range of values within which the true sensitivity or specificity is expected to lie with a certain level of confidence, typically 95 %. Please refer to the AQA:2021 for information about statistical models to compute the 95 % CI [1].<h4>6 - How to define targets?&nbsp;</h4>Target minimum values for clinical sensitivity and specificity should be identified. These values may originate from regulations or criteria based on the intended use of the binary results. A target or minimum value for the lower limit of the 95 % CI for result rate, i.e., SS or SP, (LLSS.95 or LLSP.95) or the upper limit of the 95 % CI for result rate (HLSS.95 or HLSS.95) should also be defined according to the purpose of the analysis. The target or minimum value (LLSStg or LLSPtg) is particularly significant when the impact of false results is critical. For example, for blood components used in transfusions, the screening for infectious diseases should be performed with tests associated with an LLSS.95 close to 100 %.&nbsp;Figure 2 illustrates five different tests, each assessed for clinical sensitivity and its associated uncertainty. These cases reflect different levels of compliance with a target sensitivity of 0.5. Case 1 is non-compliant, Cases 2 to 4 are partially compliant, and Case 5 is compliant. From a simplified statistical power view, the laboratory should always take into account the minimum number of samples when defining its target. This number can be estimated by simulation. For example, for a clinical sensitivity of 90 % the evaluation will require a minimum of 10 samples. It should be emphasized that samples must be representative of the target population for a clinical power evaluation - for example, epidemiologically representative samples of the types and subtypes of a given virological agent are required.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Eurachem_Figure_2_Compliance_assessment_with_clinical_sensitivity_a21ece043c.jpg" alt="Eurachem: Figure 2. Compliance assessment with clinical sensitivity uncertainty using the lower 95% confidence interval limit for five performance assessment scenarios. " srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Eurachem_Figure_2_Compliance_assessment_with_clinical_sensitivity_a21ece043c.jpg 245w," sizes="100vw" width="1500" height="648">

Performance Assessment of Binary Output Examinations in Medical Laboratories

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Thermo Fisher Scientific

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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LabRulez

Mettler-Toledo

Agilent Technologies

Bruker

SelectScience

Wiley

Shimadzu Corporation

Listeria monocytogenes, a foodborne pathogen, poses a particular risk to vulnerable populations such as infants, the elderly, immunocompromised individuals, and pregnant women. Timely and accurate identification helps to prevent outbreaks of listeriosis and is essential for ensuring food safety and protection of public health.
In this webinar, Dr. Helene Oberreuter, food microbiologist and senior government councilor, will highlight a validated workflow for the differentiation of Listeria monocytogenes serogroups by FT-IR spectroscopy. The workflow consists of species identification by MALDI-TOF mass spectrometry (MALDI Biotyper®) followed by serogroup differentiation with the IR Biotyper® using a classifier which is based on an artificial neural network.
Key learning objectives
<ul>
<li>Explore the use of FT-IR spectroscopy in food pathogen detection
</li>
<li>Discover a validated workflow for serogroup differentiation
</li>
<li>Learn how to apply an artificial neural network to pathogen classification
</li>
<li>Gain insights into the preselection of samples by FT-IR for whole genome sequencing
</li>
</ul>
<blockquote>
Presenter: Dr. Helene Oberreuter (Food Microbiologist and Senior Government Councilor, CVUA Stuttgart, Germany)
</blockquote>
<blockquote>
Presenter: Lawrence Howes (SelectScience)
</blockquote>
Who should attend?
Those working in food microbiology laboratories, reference laboratories and centers for food pathogens, state and public health laboratories, and centers for disease control and prevention
Certificate of attendance
All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.

Bruker - Validated differentiation of Listeria monocytogenes by FT-IR spectroscopy using an artificial neural network based classifier

Validated differentiation of Listeria monocytogenes by FT-IR spectroscopy using an artificial neural network based classifier

Validated workflow for the differentiation of Listeria monocytogenes serogroups by FT-IR spectroscopy.

Differentiation of Listeria monocytogenes-FT-IR spectroscopy

Learn about the realization of the kilogram at the National Metrology Institute of Japan (NMIJ) with the X-ray crystal density method. This is a great opportunity to learn about this topic from Dr. Naoki Kuramoto, who significantly contributed to the determination of the Planck constant in the new definition of the kilogram by measuring the volume of 28Si-enriched spheres.
Program
<ul>
<li>Details of the X-ray crystal density method for the realization of the kilogram
</li>
<li>Information on 28Si-enriched spheres and the International Avogadro Coordination
</li>
<li>An example of the realization experiment: measurement results for a key comparison of kilogram realizations
</li>
</ul>
<blockquote>
Speaker: Dr. Naoki Kuramoto (National Metrology Institute of Japan NMIJ)
</blockquote>
<blockquote>
Prime Senior Researcher, Leader of Mass Standards Group
</blockquote>

Mettler-Toledo: Realization of the Kilogram at NMIJ

Realization of the Kilogram at NMIJ

Learn about the realization of the kilogram at the NMIJ with the X-ray crystal density method.

In this training session, the METTLER TOLEDO product managers will address the questions that are most commonly asked in the field. They will talk about weight handling, maintenance of mass comparators, selection of products, elevation dependence of measurements, and many more topics. Additionally, you will have the opportunity to ask your own questions in an open Q&amp;A session at the end.
Key Takeaways
This is a great opportunity for all mass metrologists, as those questions that many others ask might also be of relevance to you. 
Program
<ul>
<li>Discover answers to the most frequently asked questions in mass metrology
</li>
<li>Learn more about weight handling, mass comparator maintenance, etc.
</li>
<li>Ask our experts your own questions
</li>
</ul>
<blockquote>
Speaker: Dr. Frederik Eiler (METTLER TOLEDO, Product Manager Metrology Solutions)
</blockquote>
<blockquote>
Speaker: Mark Kliebenschädel (METTLER TOLEDO, Product Manager Metrology Solutions)
</blockquote>

Mettler-Toledo: Mass Calibration – Most Frequently Asked Questions

Mass Calibration – Most Frequently Asked Questions

Opportunity for all mass metrologists, as those questions that many others ask might also be of relevance to you.

Explore the intricacies of the world through the lens of nucleic acids—the building blocks of life. Nucleic acids, including the DNA and RNA, play pivotal roles across diverse fields, such as the following examples:
<ul>
<li>Biopharmaceuticals: The development of mRNA vaccines for COVID-19 highlights the rapid advancements and powerful potential of nucleic acid therapeutics.</li>
<li>Food safety: Nucleic acid-based detection methods can act as an effective tool to identify foodborne viruses, detect food allergens, and even uncover instances of food fraud.</li>
<li>Forensics: DNA analysis can shed new insights into crime scene investigations.</li>
<li>Medical diagnostics: Nucleic acids can be used to detect genetic disorders, cancer biomarkers, and infectious diseases etc.</li>
</ul>
In this Shimadzu Digital Classrooms, join us as we learn more about nucleic acid analysis, using UV-Vis spectroscopy and microchip electrophoresis. We will be introducing Shimadzu’s innovative technologies —TMSPC-8i, BioSpec-nano, and MultiNA—and showcase how they each play a crucial role in various spheres of science and industry. Register now!
Learning Objectives:
<ul>
<li>Learn about the capabilities of Shimadzu&#39;s TMSPC-8i to measure thermal stability of DNA/RNAs</li>
<li>Learn about the convenience of using Shimadzu&#39;s BioSpec-nano for nucleic acid quantitation down to 1µL</li>
<li>Learn how Shimadzu&#39;s MultiNA system can automate gel electrophoresis with improved reproducibility and sensitivity</li>
</ul>
<blockquote>
Presenter: Tan Qi An (Application Specialist - Spectroscopy, Shimadzu - Asia Pacific Pte Ltd)
</blockquote>
<blockquote>
Qi An is a highly skilled professional with a bachelor&#39;s degree in Chemistry and Biological Chemistry from Nanyang Technological University, Singapore. His passion for food science led him to pursue a concurrent second major in Food Science and Technology from Wageningen University. With over two years of experience as an Application Specialist for spectroscopy and TOC instruments at Shimadzu Asia Pacific, Qi An has successfully conducted pre-sales demonstrations, sample analysis, and provided application support across diverse industries. His expertise and commitment to delivering high-quality solutions make him a valuable asset to the field of analytical chemistry.
</blockquote>
<blockquote>
Presenter: Naatasha Isahak, PhD (Market Specialist - Clinical and Forensics, Shimadzu Asia Pacific)
</blockquote>
<blockquote>
Naatasha Isahak is a Product Specialist for MALDI and Life Sciences Products from Shimadzu Asia Pacific Pte Ltd. She has received her PhD from the University of Sydney (Chemistry) working on surface initiated polymerisation on silica nanoparticles using RAFT polymerisation and bioorthogonal conjugation of peptides using Native Chemical Ligation. She then spent 5 years working on developing platforms for stem cells and organoids characterization that included working with microfluidic devices and helical polymers. Naatasha joined Shimadzu in 2022 to expand her experiences to MALDI characterization on materials and biological samples.
</blockquote>

Shimadzu: Discover the Building Blocks of Life – DNA and RNA Analysis Solutions

Discover the Building Blocks of Life – DNA and RNA Analysis Solutions

Nucleic acid analysis, using UV-Vis spectroscopy and microchip electrophoresis.

DNA and RNA Analysis Solutions

Protein ubiquitination is a versatile post-translational modification that orchestrates many cellular pathways. Ubiquitin ligases are key specificity factors in this system. The HECT-type ubiquitin ligase HACE1 controls membrane dynamics and redox homeostasis by mechanisms that are still poorly understood at a structural level.
We determined the cryo-EM structures of HACE1 alone and in complex with its physiological substrate, RAC1. Together with biophysical analyses including HDX-MS and mass photometry, our studies reveal how HACE1 is regulated and how it recognizes its substrate with specificity. I am going to provide an overview of this work with a specific focus on the use of mass photometry.
All participants in this webinar will receive a Certificate of Attendance.
<blockquote>
Presenter: Sonja Lorenz (Research Group Leader, Max Planck Institute for Multidisciplinary Sciences)
</blockquote>

Wiley: Mass photometry to study the oligomerization of HACE1

Mass photometry to study the oligomerization of HACE1

Studies reveal how HACE1 is regulated and how it recognizes its substrate with specificity.

We will focus this webinar on exchanging protons, first covering techniques to eliminate the water signal from the spectrum, or the parts of the spectrum we need to better analyze exchanging protons. We will then move to a look at experiments designed to exploit saturation transfer and chemical exchange of these protons for insight into biomolecular dynamical properties.
<blockquote>
Presenter: Amy Freund, PhD (Senior Applications Scientist II, Bruker BioSpin)
</blockquote>
<blockquote>
Dr. Amy Freund is a Senior Applications Scientist II at Bruker BioSpin. Her work focuses on the utilization of high-throughput NMR in the fields of metabolomics, screening and drug discovery. Areas of expertise include quantitative NMR, decoupling techniques, cryoprobe technology, small volume NMR, and semi-solid HR-MAS NMR. She is valued for her rare mix of training, communication, and problem-solving skills. Complimenting her work training and assisting customers, Dr. Freund is product manager for AutoCalibrate, a new software tool for instrument performance monitoring and evaluation. For this project, she has taken insight gathered from her interactions with customers; conversations, troubleshooting and training to spot bottlenecks in workflows and develop a tool to streamline/automate instrument maintenance.
</blockquote>
<blockquote>
Dr. Freund first became interested in NMR 20 years ago during her graduate work at the University of Vermont. There she managed the NMR facility and assisted faculty and students in many different types of NMR studies. In her own graduate research, she used 19F and 31P NMR to study reaction pathways of fluorinated phosphazene monomers and polymers. She also advised researchers in their studies of organic chemistry reaction kinetics and catalytic pathways in porous materials using HR-MAS and solid-state NMR.
</blockquote>
<blockquote>
While previously the application team leader for Bruker’s west coast office, researchers seeking her expertise can now find her at Bruker’s US headquarters in Billerica, Massachusetts.
</blockquote>
<blockquote>
Presenter: Donna Baldisseri, PhD (Senior Applications Scientist I, Bruker BioSpin)
</blockquote>
<blockquote>
Donna Baldisseri, Ph.D. is a Senior Applications Scientist at Bruker BioSpin Corp. She received her B.A. in Chemistry from Boston University and her Ph.D. in Chemistry from Wesleyan University. Prior to joining Bruker, Donna was a Research Associate Professor at the University of Maryland School of Medicine, a Scientist Associate at the NCI-FCRDC and, an IRTA Postdoctoral Fellow at the NIH. Donna has expertise in the fields of biomolecular NMR spectroscopy including Biologics and in the application of high field cryo- and micro-probe technology and has co-authored over 25 articles in peer reviewed scientific journals.
</blockquote>

Bruker: Applications using Exchangeable Protons

Applications using Exchangeable Protons

We will focus this webinar on exchanging protons, first covering techniques to eliminate the water signal from the spectrum

Unraveling neuronal ensembles with deep brain calcium imaging
In this webinar, Dr. Piantadosi will describe his use of multiphoton optogenetics to manipulate optically separable amygdalar valence encoding ensembles in vivo. He will also discuss how to overcome the challenges associated with using this technique deep in the brain.
A long-standing theory postulates that monoaminergic neuromodulatory inputs control the gain of neuronal ensembles and that this motif is well suited to govern valence processing that occurs in limbic brain regions, including the basolateral amygdala (BLA). However, direct experimental evidence for how neuromodulatory input alters neural ensemble gain and the cell types and receptors that participate is not clear. Using deep brain calcium imaging approaches and focusing on the highly conserved noradrenergic input from the locus coeruleus (LC) to the amygdala, I have tried to understand how neuromodulatory input contributes to changes in correlated activity of amygdala ensembles.
I find that activation of this circuit promotes anxiety-like behavior, and this change in behavior coincides with an increase in synchronous activity of large groups of BLA neurons in a β-adrenergic receptors (β-AR) dependent manner. This increased connectivity may reflect a change in network gain. To test the functional consequence of increased ensemble synchrony, I have pioneered the use of multiphoton optogenetics in the deep brain. Using 2-photon calcium imaging and multiphoton stimulation I have found that synchronous activation of amygdala ensembles defined by their valence specificvalence-specific activity profiles can bias behavioral output, demonstrating a causal role for this gain control mechanism. Further, we use this approach to investigate the connectivity of these opposing ensembles in vivo, identifying functional antagonism between ensembles.
<blockquote>
Presenter: Sean Piantadosi, Ph.D. (Postdoctoral Scholar, University of Washington)
</blockquote>
<blockquote>
Sean was a research assistant at the Uuniversity of Mmaryland Mmedical Sschool where he worked in the Gould llab. He did his doctoral work in the Ahmari llab at the university University of pittsburgPittsburgh where he used a mouse model to study the functional contributions of the orbitofrontal cortex and striatum in obsessive- compulsive disorder. He is now a postdoctoral fellow at the Uuniversity of Wwashington working with the Sstuber and Bbrucas labs where his work has demonstrated the causal relationships between discrete neuronal ensembles in the amygdala and valence-specific behavior.
</blockquote>

Bruker: Optical approaches for investigating neuromodulatory effects on amygdala dynamics and behavior

Optical approaches for investigating neuromodulatory effects on amygdala dynamics and behavior

Discover what multiphoton microscopy and other optical techniques can reveal deep in the brain.

Optical approaches for investigating neuromodulatory effects

Immediate and reliable elemental information for process and quality control in the petrochemical industry is provided by X-ray Fluorescence (XRF) spectrometry. It enables norm compliant analysis of various elements at different process stages and in final fuel products (e.g., ASTM D2622, ASTM D7220, ISO 20884), as well as in the subsequent downstream supply chain such as tank farms and depots. Moreover, XRF plays an important role in evaluating lubricant additives and detecting wear metals in high-speed engine oils, crucial for maintaining the integrity of high-quality products, as outlined in ASTM D6443 and DIN 51399.
There are different XRF technologies, like compact energy-dispersive systems (EDXRF) and large high-end wavelength-dispersive systems (WDXRF). The right technique for your task depends on the analytical requirements. In this online seminar we will provide guidance based on use cases for a broad range of applications in the petrochemical industry.
Register now to learn what XRF can do for you! In two lab sessions, we will show how easy it is to operate our spectrometers and provide valuable tips and tricks. Our experts will answer your questions during our Q&amp;A session.
There will be two broadcasts:
<ul>
<li>May 15th, 9:00 - 10:00 AM CEST</li>
<li>May 15th, 4:00 - 5:00 PM CEST</li>
</ul>
Which Applications will be covered?
<ul>
<li>Monitoring crude oil feedstock </li>
<li>Process control of intermediate refinery products </li>
<li>Monitoring of key refinery elements </li>
<li>Cl, Ni, V, and Fe (ASTM D4929, ASTM D8252) </li>
<li>Norm-compliant S analysis, e.g. ASTM D2622, D7220, ISO 20884 </li>
<li>Trace analysis in residues and petcoke (ASTM D6376) </li>
<li>Additive analysis in lubricating oils (ASTM D6481, D7751) </li>
<li>Wear metal analysis in used engine oils </li>
<li>Lubricant analysis according to ASTM D6443 and DIN 51399-2 </li>
<li>and more …</li>
</ul>
Agenda (60 min)
<ul>
<li>Introduction to XRF</li>
<li>How to Optimize Your Refinery Processes </li>
<li>Lab Session 1: Benefits of Polarized EDXRF </li>
<li>Lubricants: From Basic to High-Performance </li>
<li>Lab Session 2: Lubricant Analysis with WDXRF </li>
<li>Q&amp;A Session with our Experts</li>
</ul>
<blockquote>
Presenter: Dr. Kai Behrens (Head of XRF Product Line Management, Bruker AXS)
</blockquote>
<blockquote>
Presenter: Dr. Adrian Fiege (Product Manager XRF, Bruker AXS)
</blockquote>
<blockquote>
Presenter: Renata Janjic (Application Scientist XRF, Bruker AXS)
</blockquote>
<blockquote>
Presenter: Frank Portala (Product Manager XRF, Bruker AXS)
</blockquote>

Bruker: XRF in the Petrochemical Industry - From Refinery Feedstock to Fuels and Lubricants

XRF in the Petrochemical Industry - From Refinery Feedstock to Fuels and Lubricants

Learn what XRF can do for you! We will show how easy it is to operate our spectrometers and provide valuable tips and tricks.

XRF in the Petrochemical Industry

Join us and our special guest speaker Dr. Venera Weinhardt from the Centre for Organismal Studies (COS), University of Heidelberg, Germany, for this webinar on Putting Molecules in Place using Correlated Light-Sheet Microscopy and X-ray Tomography.
Bruker’s light-sheet fluorescence microscopy (LSFM) is an advanced imaging technique that generates 3D images of live or cleared biological specimen, providing high-speed, high-resolution imaging capabilities that are ideal for the visualization of dynamic biological processes. The correlation of LSFM with other imaging techniques delivers comprehensive insights into morphology and the localization of molecules and cellular structures.
In this webinar, Dr. Venera Weinhardt will speak on using correlated LSFM and X-ray computed tomography approaches in applications, such as mapping gene expression patterns within the 3D anatomy of whole organisms at cellular resolution. She will cover the following topics:
<ul>
<li>Principles of multimodal imaging to map both function and structure within organisms</li>
<li>Multimodal imaging pipeline and 3D data processing</li>
<li>Using visual and quantitative insights into the 3D distribution of gene expression within tissue architecture as reference atlases for model organisms’ development and their malformations</li>
<li>Using multimodal approaches to identify tissues together with their 3D cellular and molecular composition in anatomically less-defined in vitro models, such as organoids.</li>
</ul>
<blockquote>
Presenter: Dr. Venera Weinhardt (Centre for Organismal Studies (COS), University of Heidelberg, Germany)
</blockquote>
<blockquote>
Dr. Venera Weinhardt is a Group Leader at COS and a member of Prof. Dr. Joachim Wittbrodt’s group. Her work focuses on the development and adaption of novel imaging techniques for the life sciences, such as optimization of absorption contrast for imaging small model animals, e.g. zebrafish and medaka, phase contrast techniques, new contrast mechanisms, in vivo/low-dose imaging, and soft x-ray microscopy. She also works on the correlation of these methods with fluorescence light microscopy, the optimization of sample preparation (vitrification of specimens) and mitigating radiation damage effect.
</blockquote>
<blockquote>
In addition to her research work, she teaches physics, biology, and computer sciences at the University of Heidelberg. Venera Weinhardt has received several awards including the Walter Benjamin Program, Marie Skłodowska-Curie Actions, and EU Research and Innovation Act.
</blockquote>

Bruker: Putting Molecules in Place Using Correlated Light-Sheet Microscopy and X-Ray Tomography

Putting Molecules in Place Using Correlated Light-Sheet Microscopy and X-Ray Tomography

Correlated Light-Sheet Microscopy and X-ray Tomography for Mapping Gene Expression Patterns

Correlated Light-Sheet Microscopy and X-Ray Tomography

The investment into battery research and battery production has grown rapidly in scale and importance over the past decade. This global trend is predicted to continue for many years to meet international carbon reduction mandates. Regardless of batter type—lead-acid, lithium-ion, sodium-ion-based, or any other—every stage of the battery value chain poses many technical, economic, and environmental challenges that need to be addressed to enable this thriving industry to meet the demands of the current and future global energy market.
In this webinar you will learn how laboratory workflow solutions from Agilent are used to ensure the cost-effective, safe, ecofriendly production of high-performance batteries at every stage of the value chain, starting from mining/refining through to the final production and recycling process. You will also learn how these solutions are being used to enable manufacturers to stay ahead in this competitive market by accelerating their technological evolution through R&amp;D applications.
<h5>Who should attend?</h5>
<ul>
<li>Battery production technologists
</li>
<li>QA/QC Battery production managers
</li>
<li>Battery technology researchers
</li>
<li>Recycling technologists
</li>
<li>Environmental technologists
</li>
<li>Raw materials suppliers
</li>
</ul>

Agilent: Ensuring the Quality, Performance, Safety, and Eco-Friendly Production of Battery Cells Throughout the Value Chain

Ensuring the Quality, Performance, Safety, and Eco-Friendly Production of Battery Cells Throughout the Value Chain

Learn how solutions from Agilent are used to ensure the cost-effective, safe, ecofriendly production of batteries at every stage of the value chain.

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