Hone your lab skills, outside the lab, with our live, interactive series of virtual workshops and software bootcamps! Learn about the latest in software solutions for Spectroscopy, discuss the entire analytical process from method development to data analysis, and participate in live analytical runs with our experts. We hope these will prepare you for future hands-on events in the future.
From Single Cell and Nanoparticle Analysis to Laser Ablation and Beyond: Advanced ICP-MS Research Applications
This discussion will include an overview of NanoParticle, Single Cell, Speciation, Laser Ablation, and other hyphenated ICP-MS applications that can advance your research and development with unparalleled insights.
Speaker
L. Craig Jones ICP-MS Application Scientist, Agilent Technologies, Inc.
Microplastic Pollution: IR Microspectroscopy is Enhancing Chemical Identification
Speaker
Dave Schiering Founder & Chief Technology Officer RedWave
Tips and Tricks Workshop on ICP-OES: Smarter Method Development
Techniques on how to achieve the best sensitivity and detection limits through tuning techniques and strategies.
Speakers
Ana García González
Atomic Spectroscopy Application Scientist Agilent Technologies, Inc.
Christopher Conklin
Product Specialist Agilent Technologies, Inc.
Microplastics in Wastewater: A Population-Based Approach to Identifying Potential Sources
Speaker
Ian Eggleston Masters Student in Plant and Soil Sciences Stockbridge School of Agriculture, UM, Amherst
Innovations in ICPMS Software: Making the Most of Your Analysis
Recent innovations in ICPMS MassHunter and how these innovations can assist analysts be more confident in their data.
Speaker
Bert Woods
Application Scientist Agilent Technologies, Inc.
Moving from R&D and Limited QC on a UV-Vis-NIR instrument to Large Scale QC Using an Autosampler
Speaker
Mark Fisher, PhD
Application Engineer, Molecular Spectroscopy Agilent Technologies, Inc.
Tips and Tricks on ICP-OES for Best Detection Limits and Less Carryover
When it comes to detection limits we all want to achieve the lowest possible values. Learn all the tips and tricks and select the proper components of an ICP-OES sample introduction system to optimize your data quality. Take advantage of the smart and easy features of Agilent’s ICP-Expert software to enhance instrument performance and remove carryover.
Imagine a lab where precision meets efficiency, and every operation is optimised to perfection. In the intricate world of laboratory operations, a silent revolution is underway – the integration of Artificial Intelligence (AI) to elevate the standards of quality control. A game-changer that holds the key to unlocking unparalleled advancements in scientific research and experimentation.
The crucial role of AI in lab quality control: Today and tomorrow
As laboratories grapple with increasing complexities in research and analysis, the importance of AI technology becomes increasingly apparent. AI is not just a futuristic concept; it is the present and the future of laboratory operations. Today, AI is being harnessed to enhance quality control practices by providing real-time monitoring, predictive analytics, and automated decision-making.
Looking ahead, AI is poised to become the cornerstone of innovation in labs, offering solutions to challenges that were once deemed insurmountable.
Benefits of using AI in lab quality control: Precision redefined
Real-Time Monitoring: AI systems can monitor and analyse data in real-time, providing an instantaneous and comprehensive view of lab processes. This facilitates early detection of anomalies and deviations, allowing for immediate corrective actions.
Predictive Analytics: By leveraging historical data, AI can predict potential issues before they occur. This proactive approach enables labs to implement preventive measures, minimising the risk of errors and ensuring consistent quality.
Automation of Routine Tasks: AI excels at automating repetitive and routine tasks, freeing up human resources for more complex and creative endeavours. This not only increases efficiency but also reduces the likelihood of human error in quality control processes.
Enhanced Data Analysis: The power of AI lies in its ability to analyse vast datasets quickly and accurately. This capability is invaluable in quality control, where precise analysis is paramount for ensuring the reliability of results.
Future-proofing lab operations with AI
As we embrace the current wave of AI applications in quality control, it’s crucial to consider how these technologies can future-proof lab operations and inspire innovation. Integrating AI-driven technologies like machine learning algorithms, robotic process automation, and advanced analytics positions laboratories at the forefront of scientific advancement. Imagine a future where AI not only optimises existing processes but also catalyses the development of novel methodologies and approaches, pushing the boundaries of what is possible in scientific research.
Explore AI for your lab
In the race toward scientific excellence, laboratories cannot afford to overlook the transformative potential of AI in quality control. The possibilities are vast, and the benefits are tangible. To unlock the full spectrum of AI-driven innovations, labs must explore and embrace these technologies actively. The lab of the future is not a distant vision; it is a reality that can be shaped today through the strategic integration of AI in quality control processes.
With more laboratories embarking on the journey toward AI-driven quality control, the call to action is clear – explore the possibilities, discover the potential, and redefine the future of your lab.
To take the first step towards integrating AI into your quality control processes, engage with leading experts and solution providers. The evolution of laboratory operations awaits, and AI is the key to unlocking unparalleled advancements in quality control and scientific discovery.
Did you know that even in the world of cutting-edge scientific research, principal scientists grapple with a delicate dance between budget constraints, selecting the right tools, and keeping abreast of technological advancements? It’s an intricate tapestry of decisions that define the success of laboratories and the critical role principal scientists play in this high-stakes balancing act.
In the ever-evolving landscape of scientific discovery, the interplay between budget considerations, the selection of the right tools, and staying ahead in technological advancements is more complex than meets the eye. The choices made in this delicate dance have far-reaching implications, influencing the pace of innovation and the ultimate success of research endeavours.
Why Balancing Budget and Technology Matters for Labs
Effective budget planning is paramount for maintaining financial stability, allocating resources wisely, and ensuring the sustainability of research programs. In the world of laboratories, where breakthroughs and advancements are the currency of success, discussions around balancing budgets and technology choices are not just financial exercises but strategic imperatives. Simultaneously, the choice of technology and tools can make or break the success of experiments, affecting the quality and reliability of results.
The principal scientist’s dilemma lies at the crucial nexus of these considerations, shaping the trajectory of scientific progress within a laboratory.
Considerations for Success
Budget Planning: Principal scientists must master the art of budget planning, understanding the financial constraints of the laboratory while aligning resources with overarching research goals. Strategic budget management involves forecasting, risk assessment, and transparent communication to secure funding for critical initiatives.
Tool Selection: The right tools are the backbone of successful scientific breakthroughs. Factors such as scalability, versatility, and long-term viability when selecting tools must be considered. The goal is to invest in instruments that meet current needs and adapt to the evolving demands of research.
Staying Ahead in Technology: In a world where technological advancements are rapid, it’s vital to keep laboratories at the forefront of innovation. Regular assessments of emerging technologies, collaboration with industry leaders, and fostering a culture of adaptability are essential for staying ahead in the dynamic realm of scientific research.
Inspiration for Laboratory Optimisation
Imagine the transformative potential when laboratories optimise their budget, tools, and technology choices. Principal scientists can inspire a culture of innovation by championing a holistic approach that embraces efficiency and excellence. Encourage your team to reevaluate the choices made in the lab, fostering an environment where every decision aligns with the overarching mission of scientific advancement.
Partnering with Chemetrix for Optimal Solutions
As principal scientists navigate the intricate landscape of budget constraints and technological choices, partnering with industry leaders becomes paramount. Chemetrix stands as a beacon of innovation, offering solutions that seamlessly integrate budgetary considerations with cutting-edge technology. This isn’t just a challenge; it’s an opportunity to redefine the landscape of scientific research.
Operating an HPLC (High-Performance Liquid Chromatography) system can be overwhelming for a new user. There are numerous pitfalls or “gotchas.” Even the matter of which tubing and fittings are compatible, and which are not, can pose a serious impediment to successfully operating the HPLC.
In this discussion, we will cover:
The significance of connections
Considerations for the mobile phase
Quality considerations
Preventing microbial growth
Compatibility of sample and solvent
Characteristics of the column; their significance and limitations
The importance of sample preparation
Speakers
Rita Steed Application Engineer
Agilent Technologies, Inc.
Rita Steed began supporting the LC column line for Agilent in 1999. As a Chromatography Specialist (first with Chromatography, Inc., then directly for Agilent), Rita worked on-site with researchers in Pharmaceutical and other industries presenting technical seminars and assisting researchers with troubleshooting and method development. Rita has over 20 years of Chromatography experience in the Biotechnology, Chemical, and Pharmaceutical industries. She has held positions in Research, Sales, and Technical Service. Rita has earned degrees in Microbiology and Life Sciences/Biochemistry. In her current position, she is an inside Application Engineer supporting LC columns.
Did you know that laboratories, the epicentres of scientific discovery, also leave an indelible footprint on the environment, contributing significantly to waste and energy consumption? It’s time we scrutinise the environmental impact of labs and explore actionable steps toward a more sustainable future.
In the pursuit of scientific breakthroughs, laboratories often overlook their environmental impact, but the repercussions are significant. As we grapple with climate change and environmental degradation, the imperative to reduce the ecological footprint of labs becomes ever more critical. Sustainable practices in laboratories not only contribute to global environmental conservation but also foster a culture of responsibility and forward-thinking innovation within the scientific community.
Why it matters: The environmental imperative for labs
The environmental impact of laboratories is substantial, from energy-intensive equipment to disposable plastics and hazardous waste. A survey by Agilent revealed that nearly 80% of labs surveyed recognise the importance of sustainability but only 44% have established formal sustainability initiatives. The urgency to address this dissonance lies in the fact that labs are significant contributors to pollution, resource depletion, and carbon emissions. By adopting eco-friendly practices, labs can mitigate their environmental impact and lead the charge toward a more sustainable scientific future.
Tips for reducing lab environmental impact: A roadmap to sustainability
Energy efficiency: Invest in energy-efficient lab equipment, such as fume hoods, freezers, and autoclaves. Regular maintenance and calibration can further optimise energy usage.
Waste reduction: Minimise single-use plastics by opting for reusable alternatives. Implement waste segregation practices and explore recycling programs for items like pipette tip boxes and sample vials.
Green procurement: Choose suppliers and products with eco-friendly certifications. Consider the life cycle of consumables and equipment, prioritising those with minimal environmental impact.
Water conservation: Implement water-saving measures, such as using water-efficient autoclaves and incorporating responsible water-use practices in experiments.
Sustainable lab practices: Foster a culture of sustainability within the lab. Encourage staff to turn off equipment when not in use, adopt electronic documentation systems, and participate in eco-friendly initiatives.
Decreasing Helium usage: There is an increased shortage in the supply of helium, which is causing a shift to using hydrogen for GCMS instead. Agilent is realising new upgrades on various instruments to allow GCMS to run on hydrogen safely.
Agilent is also focusing on decreasing argon consumption in their Agilent 4210 MP-AES by using nitrogen as an alternative. The Agilent 5800 ICP-OES also utilises the least amount of argon.
Did you know that utilising more efficient UHPLC methods can decrease waste generation by 5 times or more on average? It can also increase lab productivity substantially.
Explore our range of Agilent 1290 HPLC systems with a variety of different detectors and MassSpecs to suit your lab’s needs.
Sustainability has always been a crucial factor for Agilent Technologies. The below article shares how they are leading the way in sustainable supply chains and instrument production from a holistic approach.
Imagine the collective impact of every lab committed to sustainable practices. By reflecting on your lab’s environmental impact, you not only contribute to a healthier planet but also set an example for the broader scientific community.
The responsibility to reduce the environmental impact of laboratories rests not just on researchers and lab managers but on the entire scientific community. By adopting sustainable practices, labs can align their efforts with global initiatives for environmental conservation and contribute meaningfully to a healthier planet. Consider the legacy your lab leaves behind – one that goes beyond scientific discoveries to embrace a commitment to environmental stewardship.
Partnering with Chemetrix for a sustainable tomorrow
As we embark on the journey toward greener labs, it’s essential to collaborate with industry leaders committed to sustainable solutions. Chemetrix stands at the forefront of providing environmentally conscious options for analytical instruments and consumables. By partnering with Chemetrix, your lab can actively contribute to a sustainable tomorrow.
Reach out today to explore how together, we can redefine the future of scientific research with a shared commitment to environmental responsibility.
In 2022, Agilent announced its acquisition of advanced artificial intelligence (AI) technology developed by Virtual Control, an AI and machine learning software developer that creates innovative analysis solutions in lab testing. Agilent will integrate the software, known as ACIES, into its industry-leading gas chromatography and mass spectrometry (GS/MS) platforms to improve the productivity, efficiency and accuracy of high-throughput labs the company serves around the world.
ACIES automates the labour-intensive task of gas chromatography/mass spectrometry data analysis improving efficiency in the laboratory workflow, from sampling to reporting. Agilent will integrate the technology into its MassHunter software package for LC/MS and GC/MS instruments.
Digital labs
This move by Agilent signals that the digital age is very much here for laboratories. Science has always driven the world forward and now it will do the same for laboratories.
The lab of the future is a concept built on the foundation of digitalised labs. It encompasses smart technological workflow systems that are connected and capable of collecting vast amounts of data via integrated automation.
A digitalised lab should be considered a more advanced lab as it has more access to data. With data being key to transforming science, increasing amounts of data generated in any lab, let alone a digitally connected lab, could be a game-changer – but only if it’s collected and synthesised into information and knowledge that is useful.
The digital environment (i.e., paperless work in an electronic format) capitalises on digitalisation. It incorporates all of the necessary instrumentation for complete data analysis and enables the full value of the data for decision-making. The ability to monitor operations and provide more sophisticated insights is a core reason for introducing AI into the operational lab environment.
Transforming science
Artificial intelligence (AI) is often defined as the ability of a machine to learn how to solve cognitive challenges. However, in the context of scientific methodology and laboratory interconnectivity, AI is starting to be used for capturing data to model human observation and decision-making processes.
Taken forward, connecting all instruments in a lab via AI enables the opportunity for an even more astute understanding of the interactions between technology and also users, potentially providing an all-inclusive view of all laboratory operations.
Accessing this powerful source of information will become a necessary component of scientific productivity. This is an inevitable next step in creating lab management systems that are so efficient and provide knowledge that is so valuable that only AI will be able to produce them.
AI, coupled with universal sensing capabilities to detect and monitor a range of variables, e.g., an instrument’s power draw, enables companies to realise certain operational and financial benefits to their business and plan for the future. Through high-quality and readily available insights, AI enables the simultaneous monitoring of all equipment usage in the lab and holistic capacity tracking.
Globally, scientific innovation is accelerating, so labs need to consider the technology investments required to become digitally enabled in order to keep up and stay competitive. We live in a data-driven world, so scientific laboratories must fundamentally transform how they create, manage, and effectively use all the data that is generated in their lab ecosystem. Achieving and sustaining a competitive edge in a world of constant change will require the continual transformation of lab operations and scientific data management. This will be the first and most important step toward becoming a truly digitalised lab.
Standardising honey fingerprinting methods
Although previous work has been done developing case studies for fingerprinting foodstuffs, including honey, the approaches among laboratories have been different regarding sample preparation and instrumental conditions. There are also differences in terms of data processing and analysis. As a result, two laboratories analysing the same sample may obtain slightly different results. Ideally, developing a standardised fingerprinting method that could be used across all LC/MS-based workflows, enabling the same testing technique to be used across multiple laboratories, would be optimal and where future work is aimed.
When addressing the issues of food safety, product quality, and authenticity, each may be governed by separate sets of regulations. For example, looking at the residues of contaminants in honey, such as pesticides, there may be differences globally. Countries may have their restrictions for the maximum limit for specific compounds. Contaminants are a part of the picture when considering fingerprinting for honey, but permitted levels may vary between countries.
Additionally, as samples come from the field to the lab for testing, there is potential interest in reversing this and bringing the lab out into the field instead. This interesting but not yet recognised capability would enable regulators and the global food industry to respond more quickly to honey contamination and food fraud.
Step into the future, elevate your business and talk to our team of experts about how you can improve the productivity, efficiency and accuracy of your lab.
Ensuring food safety and quality is more crucial than ever. For African countries, where ensuring food safety and quality is paramount for the well being of their citizens and the success of their exports, Agilent expertise can make a difference.
Chemetrix offers Agilent’s comprehensive suite of solutions that helps you identify pesticide residues, verify label claims, and safeguard food authenticity. Now, a new free-to-access series of webinars expands on necessary knowledge for this valuable process that ensures our food is safe and nutritious.
These webinars are designed to help you learn more about the latest trends and technologies in Food Testing Workflows. Agilent experts will present webinars on the latest applications, soil analysis, laboratory performance improvement, time and cost savings opportunities, and much more.
Webinar 1 – Agilent LC Solutions for Food Testing and Food Fortification
HPLC is a powerful analytical technique widely used in the food industry, research labs and commercial testing labs for quality control, safety assessment, and nutritional analysis
Webinar 2 – Latest Applications and Workflows for the Food Market
Food laboratories find themselves in a frequently changing environment where they need to update their analytical procedures to follow new legislation and upcoming regulations.
Webinar 3 – Sample Prep for Food Analysis: An overview about available techniques
In this presentation we will cover most common Sample Preparation Techniques for Food Analysis and related products, as well as most advanced, specific and unique solutions.
Speaker
Giorgio Ferlat MSc, EMEAI IDO Product Specialist, Chemistries and Supplies Agilent Technologies
Webinar 4 – Multiresidue Pesticide Analysis in Food using GC/MS/MS and LC/MS/MS in Accordance with the SANTE 11312/2021 Guideline
Pesticides play an important role in the agriculture and food industries to improve crop yield and food production. However, the quantity of pesticide residue remaining in or on commodities are tightly controlled to avoid contamination of the food chain and the environment. Therefore, regulatory agencies have set maximum residue levels (MRLs) for hundreds of pesticides and their metabolites.
Webinar 5 – Plant and Soil Analysis for the Determination of their Inorganic Content
Testing soils and plants for trace and major elements is important for the development, the growth and the plant metabolism. This is also critical for monitoring the plant nutrients composition and assessing the potential for contamination of food crops.
Speaker
Uwe Noetzel EMEAI Technical Coverage and Solutions Agilent Technologies
Webinar 6 – Analysing Trace and Major Elements in Food Samples
To ensure food safety and safeguard human health, the characterization of the elemental composition of a wide range of food types is required. Since the concentration ranges for different elements vary significantly across different foods, various methodes can be used for sample characterization.
Speaker
Uwe Noetzel EMEAI Technical Coverage and Solutions Agilent Technologies
Webinar 7 – Better Lab Sample Turnaround – Saving Time and Solvent per run
Nowadays, laboratories have the challenge of becoming progressively more productive as well as focusing on continuous improvements.
Speaker
Giorgio Ferlat MSc, EMEAI IDO Product Specialist, Chemistries and Supplies Agilent Technologies
Webinar 8 – Quantitative Analysis of Mycotoxins in Foods by Triple Quadrupole LC/MS
Pesticides play an important role in the agriculture and food industries to improve crop yield and food production. However, the quantity of pesticide residue remaining in or on commodities are tightly controlled to avoid contamination of the food chain and the environment. Therefore, regulatory agencies have set maximum residue levels (MRLs) for hundreds of pesticides and their metabolites.
Speaker
Henry Russell LCMS Product Specialist Agilent Technologies
Agilent food and beverage testing products and services keep you at the forefront of the latest trends, ahead of issues, and focused where you need to be to deliver the highest quality and value to your customers.
Join this informative and exciting webinar series that will explore topics such as the latest applications and workflows for the food market, sample prep for food analysis, plant and soil analysis for inorganic content and much much more. The webinar series is free but registration is required.
Credible lab results depend on the quality and reliability of your data, regardless of which industry or function your lab serves. The complexities of ensuring data integrity can be overwhelming, but we are here to assist you and optimise your lab’s performance.
The final phase of the analytical process is perhaps the most critical stage for assuring data integrity. This is where raw data, factors, and dilutions come together to create reportable values, and labs must consider and respond to the potential for improper manipulation — in all its various forms.
There are a few critical choices to be made around calculation and reporting that impact compliance, the trustworthiness of results, and even the reputation of the lab.
No lab wants to go through all the work of setting up methods, conducting analysis and gathering data only for it to be for nought or at risk because the data integrity system wasn’t up to par. Here is our advice for maximising lab efficiency and data integrity simultaneously:
Go paperless as far as possible
No matter where calculations happen, it must be possible to see the original data, calculation procedure (method), and outcome. In addition, there must be sufficient transparency to capture any changes to factors, values, or the calculation procedure for review. To meet these requirements, there are three primary options to consider:
A spreadsheet: This remains the least efficient, least compliant, and least effective option for data integrity. A spreadsheet typically has manual data entry and permits an analyst to recalculate results before printing and saving the desired result values for the permanent batch record. Why do so many labs continue to choose it? Not simply to support the paper industry but because it is familiar and comfortable. It is time to move on to better options.
A LIMS or ELN application: If configured correctly, many of these applications have audit trail capabilities, access controls to prevent unauthorised actions and versioning of calculations, the ability to perform calculations that are problematic for chromatography applications, and more. However, their ability to interface is a process strength and data integrity weakness. Data sent into LIMS or ELN can be manipulated externally and then sent to the LIMS or ELN for calculation.
A CDS application: The chromatography data system is often the best calculation location. It usually provides access control to prevent unauthorised changes, versioning of calculations, and audit trail reviews for changes in calculated values and the calculations themselves. In addition, the calculations are in the same system that holds the original (raw) data, so that review is usually within one system.
Cut reporting time without increasing data integrity risks
Focus on the highest risks and use a CDS application to accelerate the reporting process. Interestingly, the greatest data integrity risks are sometimes indicated by a lack of out-of-specification (OOS), out-of-trend (OOT), or out-of-expectation (OOE) results. In many cases, falsification activities are directed at making test results that would fail the specification into passing results through various forms of data manipulation. This makes it prudent to carefully review results near specification limits (say, within 5%) to verify that all changes and calculations are scientifically justified.
To accelerate your reporting process, don’t print all your data; print a summary. An exhaustive printout makes it harder for the second person to review. Instead, leave most data electronic, print the summary, and facilitate a quicker review process.
Review your management policies
Management can inadvertently create a climate where personnel are encouraged to manipulate test results. Mandates such as “zero deviations,” “no product failures,” and “meeting production targets” can encourage data manipulation. Throw in the possibility of a demotion or dismissal for failure to meet any of these mandates, and the environment is ripe for data manipulation.
The irony is that two losers are created: the patient who receives a sub-standard product, and the company that no longer knows its true capability or process trend—or worse, suffers reputational damage. This phenomenon is recognised by the Pharmaceutical Inspection Convention and Pharmaceutical Inspection Co-operation Scheme (PIC/S) data integrity guidance, warning that management should not institute metrics that cause changes in behaviour to the detriment of data integrity.
Learn more about the capabilities of OpenLab CDS
The newest release of OpenLab CDS software helps you strengthen data integrity while accelerating calculation and reporting processes. To cite just a few key features and capabilities:
The Custom Calculator tool: automatically computes unique values directly within the software, removing error-prone calculation steps and allowing you to meet compliance requirements faster and with less effort. Custom Calculator can also flag changes made after initial use of the calculation procedure — telling the reviewer that audit trails should be checked to assess the scientific merit of the change or changes. Download the Technical Overview
Automated reporting: with OpenLab CDS, analysts no longer have to enter data manually or print everything. If you analyse approximately 500 samples per month at 10 minutes per sample, including data review time, manual data entry takes about 1000 hours per year or about 25, 40-hour weeks—half of an analyst’s time. Using OpenLab CDS, reporting time can be reduced to 5 minutes per sample for time savings of 500 hours or 12.5 weeks per year.
Technical controls: within the audit trail give analysts the ability to highlight data changes and deletions to facilitate the review process, enable review by exception and create efficient search routines within an individual project or the whole database to identify data trends and inconsistencies. The application also documents that audit trail entries have been reviewed.
To learn more about OpenLab CDS for your lab and the preservation of your data integrity, learn more about the software on our Solutions page.
Discover what OpenLab CDS software suite can do in your lab!
Seminar 1 – The Control Panel and Data Acquisition
The Control Panel is the gatekeeper to the system. Learn how to enable authentication to allow chemist names to be placed on reports. See how to configure a system in a compliant environment and restrict users’ access to instruments and data. Understand the use of Roles and Privileges to refine what users can do. Understand the need, creation, and use of Projects. Explore how to set up an Acquisition Method for a virtual 3-D HPLC and a virtual 7890 GC. Explore the software features that have been designed to help minimize sequence creation time and eliminate costly typographical errors.
Seminar 2 – Data Analysis
Explore the new look and feel of the Data Analysis engine. Become acquainted with Integration Parameters and how to create a calibration curve for quantitation. Investigate new software tools such as Peak Explorer, UV and MS Spectral capabilities, library searching and matching, peak purity, and more. Learn how to combine information from multiple results sets to track trends across time and instrumentation.
Seminar 3 – Custom Calculator and Reporting
Stop doing your calculations in Excel. Learn how to set up calculations in the Custom Calculator and Intelligent Reporter. Explore the differences between the two portions of software and understand where and when to use each. Customize individual injection reports. Explore how to create a sequence report with separate sections for standards and samples so statistics like average and standard deviation can be calculated across injections in a sequence.
Session 4 – OpenLab CDS for MS Data
OpenLab CDS can control both LC/MS (SQ) and GC/MS (SQ) instruments in your lab. Learn the Data Analysis workflow tips on how to most effectively and efficiently analyze MS-specific data.
Speakers
Richard Mutkoski Laboratory Informatics Application Engineer
Agilent Technologies, Inc.
Richard Mutkoski has been a field representative for over 27 years for both hardware and software. In his current role as an informatics application engineer, Rich presents technical solutions of the OpenLab suite of products to customers worldwide. Prior to his tenure at Agilent Rich spent 15 years in a variety of pharma QA/QC and R&D positions, providing him a unique understanding of those workflows, bottlenecks, and challenges.
To move into the digital age, you need software that can help you manage the growing amount of data generated by the modern lab. The right tools help turn that data into actionable insights and keep your lab operating efficiently. Today’s laboratory software solutions need to easily migrate data and methods from aging platforms and simplify data analysis and reporting tasks.
This webinar explores key features laboratory software must have to meet the demands of today’s laboratory. It also discusses the best process to migrate methods and data to the latest software platform. Another touchpoint is how to increase productivity and accessibility of instruments through a modern cloud-based architecture.
Speakers
Kathleen O’Dea Application Engineer
Agilent Technologies, Inc.
Kathleen O’Dea has a 20-year history with Agilent’s OpenLab products. As an Informatics Application Engineer, Kathleen has visited customers around the world in a wide variety of market areas, helping them select and implement OpenLab software products.
