Tissue slice thickness estimation device, tissue slice thickness evaluation device, tissue slice thickness estimation method, tissue slice thickness estimation program, and recording medium

JPWO2024096013A5Active Publication Date: 2025-10-22大原 利章 +2
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Patent Information

Application Number
JP2024554527
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-04-24
Publication Date
2025-10-22
Estimated Expiration
2043-10-31

AI Technical Summary

Technical Problem

The variability in tissue section thickness during pathological diagnosis hinders the standardization of tissue sections, affecting image quality and the development of AI for pathological diagnosis, especially in general hospitals that lack expensive automated equipment for precise measurement.

Method used

A device and method that estimate tissue section thickness using a normal optical microscope by creating difference images between shallow and deep depth of focus conditions, employing machine learning to generate an estimation model for accurate thickness measurement.

Benefits of technology

Enables accurate estimation of tissue section thickness from ordinary optical microscope images, improving reproducibility and standardization, thereby facilitating the development and application of AI in pathological diagnosis without the need for expensive equipment.

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Abstract

A tissue slice thickness estimation device 1 comprises: a differential image creation unit 10 for creating a differential image of a microscope image captured under a shallow depth of focus condition, and a microscope image captured under a deep depth of focus condition; and an estimation unit 20 for estimating the thickness of a tissue slice from the differential image. This tissue slice thickness estimation method includes: a differential image creation step for creating a differential image of a microscope image captured under a shallow depth of focus condition, and a microscope image captured under a deep depth of focus condition; and an estimation step for estimating the thickness of a tissue slice from the differential image.
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