We will be holding a webinar to introduce the cloud-based electronic lab notebook 'Labstep'. Labstep is a cloud-based electronic lab notebook (ELN) developed by researchers for researchers, originating from the University of Oxford. It supports all research activities, including not only experimental records but also reagent management and the creation of experimental workflows. 1) It has an intuitive and easy-to-use interface, allowing anyone to start using it immediately. 2) There are no costs or time required for implementation (as short as one month). 3) It enables quick searching, sharing, and comparison of data records (text, files, chemical structures, gene sequences, charts).

AnalyzerPro XD is a data processing software for GC/MS and LC/MS that supports data formats from major MS manufacturers. It is widely used to enhance the efficiency of analytical operations in research and development as well as manufacturing. 1. Reading major MS data 2. Component spectrum extraction through deconvolution 3. Library search in NIST format 4. Comprehensive non-target analysis 5. Creation and utilization of target libraries 6. Alignment of multiple samples 7. Visualization and feature component exploration through statistical and multivariate analysis 8. Data processing for 2D chromatogram MS and direct MS (optional) In this webinar, we will introduce an overview of AnalyzerPro XD and demonstrate the processing of GC/MS data from food samples, showing how to quickly and easily visualize information from complex sample data to aid in decision-making. At the end of the webinar, we will have a "Q&A Time" to answer questions from everyone.

SIMCA is a multivariate analysis software that handles large data sets and is appreciated in research, development, and manufacturing environments for its features in overview, regression, discrimination, and classification. In this webinar, we will focus on the highly praised 'Multiblock Analysis: MOCA' from our customers, featuring short demonstrations and research case studies. ● MOCA (Multiblock Orthogonal Component Analysis) An integrated overview analysis targeting block data obtained from multiple analyses and methods on the same samples. It can be utilized in cases such as: Food: Mass spectrometry + sensory evaluation Manufacturing: Process signals + spectral analysis + raw material composition Omics: Gene expression (transcripts) + proteomics (protein expression) + metabolomics (quantitative values of metabolites) Participation is free, so please feel free to register. *There are no plans for on-demand distribution. *We do not accept participation from competitors in the same industry. *For manufacturers of analytical instruments, we will provide individual introductions, so please contact us. *Please install the latest version of ZOOM.

We will be exhibiting at the "54th Annual Meeting of the Japanese Society for Environmental Mutagenesis and Genomics" to be held on November 22 (Saturday) and 23 (Sunday), 2025. If you attend this conference, please be sure to stop by our booth. The main products on display are as follows: - Toxicity prediction software 'CASE Ultra' - Chemical toxicity information search platform 'ToxPlanet' - In silico risk assessment support tool 'QSAR Flex' - Metabolite prediction software 'META Ultra' - Cloud-based electronic lab notebook 'Labstep' If you have any questions or would like a demonstration, please feel free to reach out to us.

On October 30th (15:00 to 15:30), we will hold an advanced webinar on "Multivariate Analysis Software: SIMCA" focusing on the discriminant model OPLS-DA. SIMCA is widely used in research and development settings that handle large data sets. In this webinar, we will focus on "Discrimination: OPLS-DA" and include demonstrations and case studies. ● OPLS-DA An enhanced model of PLS-DA. By rotating the axes to maximize the separation between classes, it makes discrimination between classes easier. Additionally, by utilizing the S-plot, reliable marker candidates that are difficult to identify from the loading plot can be visualized instantly. For example: * I want to explore biomarker candidates from case-control data. * I am struggling to find significant features as the T-test only reveals false positive-like factors. 【Registration】 Please register at https://form.k3r.jp/infocom_science/251030_SIMCA_webinar_a_OPLSDA. * Participation from competitors in the same industry is not allowed. * Please ensure you have the latest version of ZOOM installed.

We will hold an introductory webinar about the toxicology information search system "ToxPlanet." ToxPlanet is an integrated search platform that encompasses toxicity/safety information for compounds. It covers toxicity databases worldwide (over 1,300 data collections, more than 700 regulatory and advisory lists, and over 10 million literature references, providing information on more than 110 million compounds), allowing for comprehensive access to toxicity information from a single search, thereby enhancing the efficiency of toxicity information and safety investigations. In this webinar, we will provide an overview of ToxPlanet and conduct a demonstration of its operation. If you have any interest, please feel free to join us.

We will be exhibiting at the 19th Metabolome Symposium. Please be sure to stop by our booth when you attend.

An advanced webinar on "Multivariate Analysis Software: SIMCA" (Regression Model OPLS) will be held on September 26, 2025, from 15:00 to 15:30. SIMCA is a multivariate analysis software that is well-regarded in fields handling large data sets, offering features for overview, regression, discrimination, and classification. In this webinar, we will focus on 'Regression: OPLS' and include short demonstrations and case studies (three are planned). ● OPLS: Orthogonal Partial Least Squares A superior model to PLS. By rotating so that the Y variable becomes the first axis, interpretation is made easier. This model allows for the prediction of target variables and factor analysis. Example of OPLS usage: * Set the coffee quality evaluation score as the target variable, find the factors that contribute most from the metabolic profile GC/MS data, and further predict the quality evaluation score from the GC/MS data. * While PLS was able to identify the most contributing factors, determining the second and third most contributing factors was difficult. In contrast, OPLS made this identification easy.

CASE Ultra is a type of QSAR software that can predict various toxicities such as mutagenicity, carcinogenicity, and skin/eye toxicity from the two-dimensional structural information of compounds. It has the following features: - Developed in collaboration with FDA/CDER, it can utilize over 130 types of toxicity data, including FDA's non-public data, as predictive models. - Predictions can be made using both statistical and knowledge-based models (mutagenicity, skin sensitization), and it is compatible with ICH M7. - It can perform alert-based read-across. - It allows for model enhancement and creation using proprietary data. - It has a significant track record of use in various fields such as pharmaceuticals, chemicals, food, and cosmetics, both domestically and internationally. In this webinar, we will not only provide an overview of CASE Ultra but also conduct a basic operation demo of the actual software. Participation is free, so if you have any interest, please feel free to join!

AnalyzerPro XD is a data processing software for GC/MS and LC/MS that supports data formats from major mass spectrometry (MS) manufacturers. It is widely used to enhance the efficiency of analytical tasks in research and development as well as manufacturing. 1. Reading major MS data 2. Extraction of component spectra through deconvolution 3. Library search in NIST format 4. Comprehensive non-target analysis 5. Creation and utilization of target libraries 6. Alignment of multiple samples 7. Visualization and feature component exploration through statistical and multivariate analysis 8. Data processing for 2D chromatographic MS and direct MS (optional) In this webinar, we will introduce an overview of AnalyzerPro XD and demonstrate the processing of GC/MS data from food samples, showing how to quickly and easily visualize information from complex sample data to aid in decision-making. Participation is free. Please feel free to join us.

We will hold a basic webinar on "Multivariate Analysis Software: SIMCA" on August 26, 2025 (15:00 to 15:30). SIMCA is used in research, development, and manufacturing environments that handle large amounts of data, equipped with various algorithms and tools that provide excellent analytical capabilities and quickly visualize results with easy mouse operations. There are many users, especially in fields such as omics data (GC/MS, LC/MS, NMR, RNA-seq, etc.), mixture analysis data (MS, NMR, IR, NIR, etc.), and sensory evaluation analysis. In this webinar, we will not only introduce an overview of SIMCA (projection methods, principal component analysis, regression, discrimination) but also present our advanced technical support services that assist with customer data analysis, which started last year, and our Python script creation service, along with a Q&A session. We will answer questions such as, "I want to start multivariate analysis but don't know how," "I've heard of SIMCA in chemometrics but don't know the details," and "Can I analyze mass spectrometry or sensory evaluation data using multivariate analysis?"

AnalyzerPro XD is a data processing software for GC/MS and LC/MS that supports data formats from major mass spectrometry (MS) manufacturers. It is widely used to enhance the efficiency of analytical tasks in research and development as well as manufacturing. 1. Reading major MS data 2. Component spectrum extraction through deconvolution 3. NIST format library search 4. Comprehensive non-target analysis 5. Creation and utilization of target libraries 6. Alignment of multiple samples 7. Visualization and feature component exploration through statistical and multivariate analysis 8. Data processing for 2D chromatographic MS and direct MS (optional) In this webinar, we will introduce an overview of AnalyzerPro XD and demonstrate the processing of GC/MS data from food samples, showing how to quickly and easily visualize information from complex sample data to aid in decision-making. Participation is free. Please feel free to join.

SIMCA is a multivariate analysis software that handles large data sets and is well-regarded in research, development, and manufacturing for its features in overview, regression, discrimination, and classification. In this webinar, we will focus on the highly praised features from our customers: 'Regression: OPLS', 'Discrimination: OPLS-DA', and 'Multi-block Overview Analysis: MOCA', accompanied by short demonstrations. ● OPLS An enhanced version of PLS. By rotating so that the Y variable becomes the first axis, it facilitates interpretation. ● OPLS-DA An enhanced version of PLS-DA. By rotating to make the axis that best separates the classes the first axis, it makes discrimination between classes easier. Additionally, using the S-plot allows for the instant visualization of reliable marker candidates that are difficult to assess from loading plots. ● MOCA An integrated overview analysis targeting block data obtained from multiple analyses and methods on the same samples. It can be used in cases such as: Food: Mass spectrometry + sensory evaluation Manufacturing: Process signals + spectral analysis + raw material composition Omics: Gene expression (transcripts) + proteomics (protein expression) + metabolomics (quantitative values of metabolites)

We will be exhibiting at the "Japan Process Chemistry Society 2025 Summer Symposium" to be held on July 24 and 25, 2025. The main products on display are as follows: - ICH-M7 compliant toxicity and ADME prediction software 'CASE Ultra' - Nitrosamine evaluation support software 'QSAR Flex' - Toxicity information search platform 'ToxPlanet' - Cloud-based electronic lab notebook (ELN) 'Labstep' - Experimental design and optimization software 'MODDE' - Multivariate analysis software 'SIMCA' - Multivariate process management software 'SIMCA-online' Please be sure to stop by when you attend.

We will be exhibiting at the "1st Pharma DX EXPO Tokyo (Interfex Week Tokyo 2025)." The main products on display are as follows: - Cloud-based Electronic Lab Notebook (ELN) 'Labstep' *We will also be introducing various DX products for pharmaceutical companies. If you attend, please be sure to stop by our booth.

We will be exhibiting at the 52nd Annual Meeting of the Japanese Society of Toxicology. The main products on display are as follows: - ICH-M7 compliant toxicity and ADME prediction software 'CASE Ultra' - Nitrosamine evaluation support software 'QSAR Flex' - Toxicity information search platform 'ToxPlanet' - Cloud-based electronic lab notebook (ELN) 'Labstep' Please be sure to stop by our booth when you attend.

We will be exhibiting at the "10th Asia-Oceania Mass Spectrometry Conference (AOMSC 2025)" to be held from June 22 to 25, 2025. The main products on display are as follows: - LC/MS, GC/MS metabolomics data processing software 'AnalyzerPro XD' - Multivariate analysis software 'SIMCA' - LC/MS/MS integrated proteomics analysis software 'PEAKS' - Monoclonal antibody contract analysis service 'PEAKS AB' We will also have poster presentations from BSI and SpectralWorks. If you attend, please be sure to stop by our booth and poster display.

We will hold a webinar on "Multivariate Analysis Software: SIMCA" on April 24, 2025 (15:00 to 15:30). SIMCA is used in research, development, and manufacturing environments that handle large amounts of data, featuring various algorithms and tools that provide excellent analytical capabilities and allow for quick visualization of results with simple mouse operations. It is particularly popular among users in fields such as omics data (GC/MS, LC/MS, NMR, RNA-seq, etc.), mixture analysis data (MS, NMR, IR, NIR, etc.), and sensory evaluation analysis. In this webinar, we will not only introduce an overview of SIMCA (projection methods, principal component analysis, regression, discrimination) but also present our advanced technical support service that assists with customer data analysis, which started last year, as well as a Python script creation service, along with a Q&A session.

In various fields of research and development, not only is the efficiency of operations required, but also a high level of data preservation and reproducibility of research data. Electronic lab notebooks not only enhance efficiency but also ensure data preservation and reproducibility through automatic backups, thereby increasing the transparency of the research process. In this webinar, Mr. Tetsuo Shimamoto from Lab Consultation Co., Ltd., an expert with extensive experience in the field, will explain the importance and challenges of introducing electronic lab notebooks. In the latter part of the webinar, we will introduce and demonstrate Labstep, our latest cloud-based electronic lab notebook, explaining how it can be utilized in research settings. There will also be a Q&A session. This webinar is an unmissable opportunity for all researchers and technicians aiming to improve research efficiency and transform data management. We hope you will join us.