MitoSeg: Mitochondria segmentation tool

Recent studies suggest a potential link between the physical structure of mitochondria and neurodegenerative diseases. With advances in Electron Microscopy techniques, it has become possible to visualize the boundary and cristae structures of mitochondria in detail. Segmenting mitochondria from micr...

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Main Authors: Faris Serdar Taşel, Efe Çi̇ftci̇
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:SoftwareX
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Online Access:http://www.sciencedirect.com/science/article/pii/S2352711025000482
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author Faris Serdar Taşel
Efe Çi̇ftci̇
author_facet Faris Serdar Taşel
Efe Çi̇ftci̇
author_sort Faris Serdar Taşel
collection DOAJ
description Recent studies suggest a potential link between the physical structure of mitochondria and neurodegenerative diseases. With advances in Electron Microscopy techniques, it has become possible to visualize the boundary and cristae structures of mitochondria in detail. Segmenting mitochondria from microscopy images remains challenging due to image quality and complex morphology of mitochondria, including cristae and the other subcellular structures. It is crucial to automatically segment mitochondria from images exhibiting different mitochondrial boundary and crista characteristics to investigate the relationship between mitochondria and diseases. In this paper, we present a software solution for mitochondrial segmentation using an automatic validation scheme based on the general physical properties of mitochondria, highlighting boundaries in electron microscopy tomography images and generating corresponding 3D meshes. These capabilities help researchers conduct further investigations into mitochondrial morphology and explore its role in the mechanisms of neurodegenerative diseases.
format Article
id doaj-art-607e433915eb4a968b7c3bd36b1d9cbb
institution Kabale University
issn 2352-7110
language English
publishDate 2025-05-01
publisher Elsevier
record_format Article
series SoftwareX
spelling doaj-art-607e433915eb4a968b7c3bd36b1d9cbb2025-02-11T04:35:07ZengElsevierSoftwareX2352-71102025-05-0130102081MitoSeg: Mitochondria segmentation toolFaris Serdar Taşel0Efe Çi̇ftci̇1Department of Computer Engineering, Çankaya University, Ankara, Turkey; Corresponding author.Computer Programming Program, Çankaya University, Ankara, TurkeyRecent studies suggest a potential link between the physical structure of mitochondria and neurodegenerative diseases. With advances in Electron Microscopy techniques, it has become possible to visualize the boundary and cristae structures of mitochondria in detail. Segmenting mitochondria from microscopy images remains challenging due to image quality and complex morphology of mitochondria, including cristae and the other subcellular structures. It is crucial to automatically segment mitochondria from images exhibiting different mitochondrial boundary and crista characteristics to investigate the relationship between mitochondria and diseases. In this paper, we present a software solution for mitochondrial segmentation using an automatic validation scheme based on the general physical properties of mitochondria, highlighting boundaries in electron microscopy tomography images and generating corresponding 3D meshes. These capabilities help researchers conduct further investigations into mitochondrial morphology and explore its role in the mechanisms of neurodegenerative diseases.http://www.sciencedirect.com/science/article/pii/S2352711025000482Electron tomographyMitochondrionSegmentation
spellingShingle Faris Serdar Taşel
Efe Çi̇ftci̇
MitoSeg: Mitochondria segmentation tool
SoftwareX
Electron tomography
Mitochondrion
Segmentation
title MitoSeg: Mitochondria segmentation tool
title_full MitoSeg: Mitochondria segmentation tool
title_fullStr MitoSeg: Mitochondria segmentation tool
title_full_unstemmed MitoSeg: Mitochondria segmentation tool
title_short MitoSeg: Mitochondria segmentation tool
title_sort mitoseg mitochondria segmentation tool
topic Electron tomography
Mitochondrion
Segmentation
url http://www.sciencedirect.com/science/article/pii/S2352711025000482
work_keys_str_mv AT farisserdartasel mitosegmitochondriasegmentationtool
AT efeciftci mitosegmitochondriasegmentationtool