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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0310157 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849228071732772864 |
|---|---|
| author | Yu-Min Chung Chuan-Shen Hu Emily Sun Henry C Tseng |
| author_facet | Yu-Min Chung Chuan-Shen Hu Emily Sun Henry C Tseng |
| author_sort | Yu-Min Chung |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-3caa135cb3464e5d9759af9d82aebbc3 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-3caa135cb3464e5d9759af9d82aebbc32025-08-23T05:32:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-01199e031015710.1371/journal.pone.0310157Morphological multiparameter filtration and persistent homology in mitochondrial image analysis.Yu-Min ChungChuan-Shen HuEmily SunHenry C TsengThe 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.https://doi.org/10.1371/journal.pone.0310157 |
| spellingShingle | Yu-Min Chung Chuan-Shen Hu Emily Sun Henry C Tseng Morphological multiparameter filtration and persistent homology in mitochondrial image analysis. PLoS ONE |
| title | 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_short | Morphological multiparameter filtration and persistent homology in mitochondrial image analysis. |
| title_sort | morphological multiparameter filtration and persistent homology in mitochondrial image analysis |
| url | https://doi.org/10.1371/journal.pone.0310157 |
| work_keys_str_mv | AT yuminchung morphologicalmultiparameterfiltrationandpersistenthomologyinmitochondrialimageanalysis AT chuanshenhu morphologicalmultiparameterfiltrationandpersistenthomologyinmitochondrialimageanalysis AT emilysun morphologicalmultiparameterfiltrationandpersistenthomologyinmitochondrialimageanalysis AT henryctseng morphologicalmultiparameterfiltrationandpersistenthomologyinmitochondrialimageanalysis |