An <scp>ImageJ</scp>‐based tool for three‐dimensional registration between different types of microscopic images

Koyama, Hiroshi; Kishi, Kanae; Mikoshiba, Seiya; Fujimori, Toshihiko

doi:10.1111/dgd.12835

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…Подтверждая справедливость высказывания И.П. Павлова о том, что «наука движется толчками в зависимости от успехов, делаемых методикой», целый ряд патоморфологических работ демонстрирует возможность существенного расширения исследовательских и диагностических возможностей световой микроскопии с применением современных алгоритмов компьютерного анализа клеточного изображения [5][6][7][8].…”

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Digital Pathology for Analyzing Endomyocardial Biopsy Specimens

Slavinskiy,

Verevkin,

Chuprinenko

et al. 2023

Innovacionnaâ medicina Kubani

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Introduction: Visual assessment of endomyocardial biopsy (EMB) specimens may result in errors due to the human factor and inability to obtain quantitative data on the intensity of immunohistochemical (IHC) reactions and severity of pathological changes in the heart transplant. Detailed digital characterization of EMB specimens based on automated or semi-automated computer-assisted morphometry improves the diagnostic accuracy of EMB. Objective: To develop a method of and algorithms for digital computer-assisted analysis of EMB specimens to quantify pathomorphological and immunophenotypic changes in the myocardium of patients with various types and grades of heart transplant rejection. Materials and methods: We studied 257 EMB specimens from 56 heart transplant recipients at Scientific Research Institute – Ochapovsky Regional Clinical Hospital No. 1 (Krasnodar, Russian Federation). Sections were stained with hematoxylin and eosin. We used the streptavidin-biotin method to determine the CD68 expression and computer-assisted morphometry of digital images to measure the area of pathological changes and CD68 expression. Results: When developing a method for computer-assisted analysis of EMB specimens, we proposed a new evaluation criterion: staining area coefficient (%) that is a ratio of the total stained area to the total section area. We created and field-tested algorithms for digital morphometric analysis to assess the intensity of IHC reactions and to identify the relative area of pathological changes in the EBM specimens. Conclusions: New digital criteria for diagnosing heart transplant rejections are to improve the accuracy of EMB results interpretation, but can also be used for analyzing other biopsy specimens.

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Digital Pathology for Analyzing Endomyocardial Biopsy Specimens

Slavinskiy,

Verevkin,

Chuprinenko

et al. 2023

Innovacionnaâ medicina Kubani

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An ImageJ‐based tool for three‐dimensional registration between different types of microscopic images

et al. 2023

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This folder contains files related to run ImageJ macros in Koyama et al. (An ImageJ-based tool for three-dimensional registration between different types of microscopic images). "Macros" folderThree macros are included. "Protocol.pdf"The protocol for the three macros is provided. "sample files" folderImages and input files used in Koyama et al. are provided. Output files of the macros are also provided. In each sub-folders (step1…step3…) in this folder, users can run the macros.

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An ImageJ‐based tool for three‐dimensional registration between different types of microscopic images

Cited by 2 publications

References 21 publications

Digital Pathology for Analyzing Endomyocardial Biopsy Specimens

Digital Pathology for Analyzing Endomyocardial Biopsy Specimens

An ImageJ‐based tool for three‐dimensional registration between different types of microscopic images

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