White Paper

Quantitative Microstructural Analysis of State-of-the-art Lithium-ion Battery Cathodes

Using ZEISS ZEN Intellesis

11 August 2023 · 27 min read
  • Software
  • Materials Sciences
Author Tobias Volkenandt Apps Development Specialist
ZEISS Microscopy
Author Tim Schubert Faculty of Mechanical Engineering
Hochschule Aalen
Author Alexander Banholzer Application Consultant Light Microscopy
ZEISS Microscopy
Author Dr. Timo Bernthaler Materials Engineering and Microscopy Solutions
Hochschule Aalen
Author Prof. Dr. rer. Nat. Gerhard Schneider Former material scientist and headmaster
Hochschule Aalen
Abstract

Quantitative Microstructural Analysis of State-of-the-art Lithium-ion Battery Cathodes - Using ZEISS ZEN Intellesis

In this application note two different segmentation methods – classic thresholding and machine learning-based – are evaluated in the context of quantitative analysis of constituents of state-of-the-art lithium-ion batteries.

Both methods are compared against reference measurements using a laboratory balance. A detailed description of the fundamental functionality of the machine learning based approach is given. It has the potential to be more robust against image variations and thus can provide a more accurate segmentation result.

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  • ZEISS ZEN Intellesis

    Quantitative Microstructural Analysis of State-of-the-art Lithium-ion Battery Cathodes

    Pages: 5
    File size: 1 MB

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