[AIST Group: Paid Techno-Knowledge Course] Practical Spectral Analysis for Materials Development Seminar ~Improving Data Analysis Efficiency with High-Speed, Automated Peak Fitting~ (July 23, Nov 19 in Tokyo)

Key Points

AIST Solutions, in collaboration with AIST, provides support services to companies and research institutions for the introduction and effective utilization of chemical data analysis applications.

The seminar focuses on "High-Throughput Spectral Analysis," aiming for participants to understand not just how to operate the tools, but also "why they work."

Participants can analyze their own data using a trial license after the seminar.

Overview

In recent years, spectral measurement techniques such as XPS and Raman spectroscopy have enabled the acquisition of large amounts of high-quality data. In materials development, there is an increasing trend to acquire vast amounts of spectral data, including mapping measurements, using XPS, Raman spectroscopy, and other methods. Efficiently analyzing and utilizing this data has become a critical challenge.

This course focuses on "High-Throughput Spectral Analysis" to address these challenges, teaching practical analysis methods using an EM algorithm-based peak fitting technique and the dedicated application "EMPeaks."

The goal is to acquire skills that directly lead to improved development efficiency through automated analysis and advanced data utilization in materials development, by understanding not just "how to operate" but also "why it works."

The methods covered in this course can also be applied to integration into analytical instruments and software implementation. This content is also expected to be a catalyst for creating new value and fostering collaborative research for instrument manufacturers and software developers. Furthermore, participants will receive a one-month trial license for the demo version of the application, allowing them to analyze their own data with the app after the seminar.

Click here for registration and details.

Recommended for:

The basic session is designed for beginners, focusing on learning the fundamental operations of spectral analysis tools and the basics of peak fitting through hands-on PC operation.

The advanced session covers theoretical backgrounds (EM algorithm, mixture models, statistical assumptions, etc.) and delves into automated analysis of spectral data and application examples.

Individuals who handle spectral analysis (XPS, Raman, etc.) in their work and are currently using trial-and-error methods for peak fitting.

Researchers and engineers who spend a significant amount of time analyzing large volumes of spectral data (hundreds to tens of thousands of points) and wish to improve efficiency.

Those who are experiencing issues with variability and reproducibility in analysis results due to initial parameter settings or noise.

Individuals aiming to enhance productivity in materials development by advancing the efficiency and automation of data analysis.

Researchers and engineers involved in materials evaluation and analysis for semiconductors, batteries, catalysts, and other fields.

Individuals at analytical instrument and measurement equipment manufacturers who are considering enhancing or differentiating their analysis functions.

Example of Spectral Analysis Screen using the "EMPeaks" Application

Event Overview

Date and Time: 1st Session: Thursday, July 23, 2026 Basic Session 10:00 AM - 12:00 PM, Advanced Session: 1:00 PM - 4:30 PM 2nd Session: Thursday, November 19, 2026 Basic Session 10:00 AM - 12:00 PM, Advanced Session: 1:00 PM - 4:30 PM

*For the 2nd session: Information regarding final registration after provisional application is scheduled for around October. Participation slots will be confirmed upon completion of final registration and payment of the participation fee. Further details will be announced once preparations are complete.

*A networking event is planned after the sessions (free for participants, with food and drinks).

*This course will be held multiple times, but the lecture content will be the same for all sessions.

Location: WeWork Hibiya Fort Tower Participation Fee: Basic Session + Advanced Session: ¥55,000 (tax included) per person per session

*With PC rental plan: ¥66,000 (tax included) per person per session

Advanced Session Only: ¥33,000 (tax included) per person per session

*With PC rental plan: ¥44,000 (tax included) per person per session

*The participant benefits include a one-month trial period for the demo version of the application.

*PC rental is only available on the day of the course.

Notes

Application deadlines are as follows:

1st Session: Thursday, July 16, 2026, by 5:00 PM

*For the PC rental plan: by Thursday, July 9, 2026, 5:00 PM

2nd Session: Thursday, November 12, 2026, by 5:00 PM

*For the PC rental plan: by Thursday, November 5, 2026, 5:00 PM

*The course may be canceled if the minimum number of participants is not met. *The lecture content and program structure may be subject to partial changes due to circumstances of the lecturer or organizer.

[Inquiries Regarding Participation]

AIST Solutions Co., Ltd. Techno-Knowledge Course Secretariat

technical-knowledge@aist-solutions.co.jp

[Techno-Knowledge Course]

The Techno-Knowledge Course is one of the services offered by AIST Solutions, aiming to enable researchers and engineers in companies to learn cutting-edge knowledge and technologies in various industrial fields in a short period and apply them practically in their work. The instructors are elite researchers from the National Institute of Advanced Industrial Science and Technology (AIST), one of Japan's largest national research institutions. The courses are held online or on-site over 1 to 3 days.

The course content is designed for a wide range of participants, from those who want to learn new technologies from the basics to those who want to refresh their knowledge, and those who want to acquire skills that can be immediately applied in development and manufacturing. The courses also provide opportunities for participants to exchange opinions and build networks with each other and with the instructors.

By utilizing other services such as technical consulting and collaborative research after attending the course, it is possible to provide comprehensive support from basic technology development to business establishment.

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https://www.aist-solutions.co.jp/services-tools/technical-knowledge/