Morphological multiparameter filtration and persistent homology in mitochondrial image analysis

The complexity of branching and curvilinear morphology of a complete mitochondrial network within each cell is challenging to analyze and quantify. To address this challenge, we developed an image analysis technique using persistent homology with a multiparameter filtration framework, combining imag...

Full description

Saved in:
Bibliographic Details
Main Authors: Chung, Yu-Min, Hu, Chuan-Shen, Sun, Emily, Tseng, Henry C.
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/180474
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-180474
record_format dspace
spelling sg-ntu-dr.10356-1804742024-10-14T15:35:17Z Morphological multiparameter filtration and persistent homology in mitochondrial image analysis Chung, Yu-Min Hu, Chuan-Shen Sun, Emily Tseng, Henry C. School of Physical and Mathematical Sciences Mathematical Sciences Amyotrophic lateral sclerosis Confocal microscopy The complexity of branching and curvilinear morphology of a complete mitochondrial network within each cell is challenging to analyze and quantify. To address this challenge, we developed an image analysis technique using persistent homology with a multiparameter filtration framework, combining image processing techniques in mathematical morphology. We show that such filtrations contain both topological and geometric information about complex cellular organelle structures, which allows a software program to extract meaningful features. Using this information, we also develop a connectivity index that describes the morphology of the branching patterns. As proof of concept, we utilize this approach to study how mitochondrial networks are altered by genetic changes in the Optineurin gene. Mutations in the autophagy gene Optineurin (OPTN) are associated with primary open-angle glaucoma (POAG), amyotrophic lateral sclerosis (ALS), and Paget's disease of the bone, but the pathophysiological mechanism is unclear. We utilized the proposed mathematical morphology-based multiparameter filtration and persistent homology approach to analyze and quantitatively compare how changes in the OPTN gene alter mitochondrial structures from their normal interconnected, tubular morphology into scattered, fragmented pieces. Published version 2024-10-08T07:32:17Z 2024-10-08T07:32:17Z 2024 Journal Article Chung, Y., Hu, C., Sun, E. & Tseng, H. C. (2024). Morphological multiparameter filtration and persistent homology in mitochondrial image analysis. PloS ONE, 19(9), e0310157-. https://dx.doi.org/10.1371/journal.pone.0310157 1932-6203 https://hdl.handle.net/10356/180474 10.1371/journal.pone.0310157 39302926 2-s2.0-85204431076 9 19 e0310157 en PloS ONE © 2024 Chung et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Mathematical Sciences
Amyotrophic lateral sclerosis
Confocal microscopy
spellingShingle Mathematical Sciences
Amyotrophic lateral sclerosis
Confocal microscopy
Chung, Yu-Min
Hu, Chuan-Shen
Sun, Emily
Tseng, Henry C.
Morphological multiparameter filtration and persistent homology in mitochondrial image analysis
description The complexity of branching and curvilinear morphology of a complete mitochondrial network within each cell is challenging to analyze and quantify. To address this challenge, we developed an image analysis technique using persistent homology with a multiparameter filtration framework, combining image processing techniques in mathematical morphology. We show that such filtrations contain both topological and geometric information about complex cellular organelle structures, which allows a software program to extract meaningful features. Using this information, we also develop a connectivity index that describes the morphology of the branching patterns. As proof of concept, we utilize this approach to study how mitochondrial networks are altered by genetic changes in the Optineurin gene. Mutations in the autophagy gene Optineurin (OPTN) are associated with primary open-angle glaucoma (POAG), amyotrophic lateral sclerosis (ALS), and Paget's disease of the bone, but the pathophysiological mechanism is unclear. We utilized the proposed mathematical morphology-based multiparameter filtration and persistent homology approach to analyze and quantitatively compare how changes in the OPTN gene alter mitochondrial structures from their normal interconnected, tubular morphology into scattered, fragmented pieces.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Chung, Yu-Min
Hu, Chuan-Shen
Sun, Emily
Tseng, Henry C.
format Article
author Chung, Yu-Min
Hu, Chuan-Shen
Sun, Emily
Tseng, Henry C.
author_sort Chung, Yu-Min
title Morphological multiparameter filtration and persistent homology in mitochondrial image analysis
title_short Morphological multiparameter filtration and persistent homology in mitochondrial image analysis
title_full Morphological multiparameter filtration and persistent homology in mitochondrial image analysis
title_fullStr Morphological multiparameter filtration and persistent homology in mitochondrial image analysis
title_full_unstemmed Morphological multiparameter filtration and persistent homology in mitochondrial image analysis
title_sort morphological multiparameter filtration and persistent homology in mitochondrial image analysis
publishDate 2024
url https://hdl.handle.net/10356/180474
_version_ 1814777804418449408