ColocZStats: a z-stack signal colocalization extension tool for 3D slicer Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fphys.2024.1440099
Confocal microscopy has evolved to be a widely adopted imaging technique in molecular biology and is frequently utilized to achieve accurate subcellular localization of proteins. Applying colocalization analysis on image z-stacks obtained from confocal fluorescence microscopes is a dependable method of revealing the relationship between different molecules. In addition, despite the established advantages and growing adoption of 3D visualization software in various microscopy research domains, there have been few systems that can support colocalization analysis within a user-specified region of interest (ROI). In this context, several broadly employed biological image visualization platforms are meticulously explored in this study to understand the current landscape. It has been observed that while these applications can generate three-dimensional (3D) reconstructions for z-stacks, and in some cases transfer them into an immersive virtual reality (VR) scene, there is still little support for performing quantitative colocalization analysis on such images based on a user-defined ROI and thresholding levels. To address these issues, an extension called ColocZStats (pronounced Coloc-Zee-Stats) has been developed for 3D Slicer, a widely used free and open-source software package for image analysis and scientific visualization. With a custom-designed user-friendly interface, ColocZStats allows investigators to conduct intensity thresholding and ROI selection on imported 3D image stacks. It can deliver several essential colocalization metrics for structures of interest and produce reports in the form of diagrams and spreadsheets.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fphys.2024.1440099
- OA Status
- gold
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402245651
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4402245651Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fphys.2024.1440099Digital Object Identifier
- Title
-
ColocZStats: a z-stack signal colocalization extension tool for 3D slicerWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-09-04Full publication date if available
- Authors
-
Xiang Chen, Teena Thakur, Anand D. Jeyasekharan, Touati Benoukraf, Oscar Meruvia-PastorList of authors in order
- Landing page
-
https://doi.org/10.3389/fphys.2024.1440099Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3389/fphys.2024.1440099Direct OA link when available
- Concepts
-
Colocalization, Visualization, Thresholding, Computer science, Software, Context (archaeology), Confocal, Interface (matter), Artificial intelligence, Computer vision, Graphical user interface, Region of interest, Pattern recognition (psychology), Image (mathematics), Biology, Physics, Optics, Paleontology, Parallel computing, Bubble, Maximum bubble pressure method, Programming language, Cell biologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
54Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4402245651 |
|---|---|
| doi | https://doi.org/10.3389/fphys.2024.1440099 |
| ids.doi | https://doi.org/10.3389/fphys.2024.1440099 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/39296518 |
| ids.openalex | https://openalex.org/W4402245651 |
| fwci | 0.0 |
| type | article |
| title | ColocZStats: a z-stack signal colocalization extension tool for 3D slicer |
| biblio.issue | |
| biblio.volume | 15 |
| biblio.last_page | 1440099 |
| biblio.first_page | 1440099 |
| topics[0].id | https://openalex.org/T12859 |
| topics[0].field.id | https://openalex.org/fields/13 |
| topics[0].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1304 |
| topics[0].subfield.display_name | Biophysics |
| topics[0].display_name | Cell Image Analysis Techniques |
| topics[1].id | https://openalex.org/T10540 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9991000294685364 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1304 |
| topics[1].subfield.display_name | Biophysics |
| topics[1].display_name | Advanced Fluorescence Microscopy Techniques |
| topics[2].id | https://openalex.org/T11289 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9747999906539917 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1312 |
| topics[2].subfield.display_name | Molecular Biology |
| topics[2].display_name | Single-cell and spatial transcriptomics |
| funders[0].id | https://openalex.org/F4320320994 |
| funders[0].ror | https://ror.org/0517h6h17 |
| funders[0].display_name | Canada Research Chairs |
| funders[1].id | https://openalex.org/F4320334593 |
| funders[1].ror | https://ror.org/01h531d29 |
| funders[1].display_name | Natural Sciences and Engineering Research Council of Canada |
| is_xpac | False |
| apc_list.value | 2950 |
| apc_list.currency | USD |
| apc_list.value_usd | 2950 |
| apc_paid.value | 2950 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 2950 |
| concepts[0].id | https://openalex.org/C40209533 |
| concepts[0].level | 2 |
| concepts[0].score | 0.9147636890411377 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q5147828 |
| concepts[0].display_name | Colocalization |
| concepts[1].id | https://openalex.org/C36464697 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7809417247772217 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q451553 |
| concepts[1].display_name | Visualization |
| concepts[2].id | https://openalex.org/C191178318 |
| concepts[2].level | 3 |
| concepts[2].score | 0.765959620475769 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q2256906 |
| concepts[2].display_name | Thresholding |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.7589499950408936 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C2777904410 |
| concepts[4].level | 2 |
| concepts[4].score | 0.607372522354126 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q7397 |
| concepts[4].display_name | Software |
| concepts[5].id | https://openalex.org/C2779343474 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5225980877876282 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q3109175 |
| concepts[5].display_name | Context (archaeology) |
| concepts[6].id | https://openalex.org/C136009344 |
| concepts[6].level | 2 |
| concepts[6].score | 0.51756352186203 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q336201 |
| concepts[6].display_name | Confocal |
| concepts[7].id | https://openalex.org/C113843644 |
| concepts[7].level | 4 |
| concepts[7].score | 0.46025383472442627 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q901882 |
| concepts[7].display_name | Interface (matter) |
| concepts[8].id | https://openalex.org/C154945302 |
| concepts[8].level | 1 |
| concepts[8].score | 0.4497910141944885 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[8].display_name | Artificial intelligence |
| concepts[9].id | https://openalex.org/C31972630 |
| concepts[9].level | 1 |
| concepts[9].score | 0.4465925395488739 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[9].display_name | Computer vision |
| concepts[10].id | https://openalex.org/C37789001 |
| concepts[10].level | 2 |
| concepts[10].score | 0.4379340708255768 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q782543 |
| concepts[10].display_name | Graphical user interface |
| concepts[11].id | https://openalex.org/C19609008 |
| concepts[11].level | 2 |
| concepts[11].score | 0.43776553869247437 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q2138203 |
| concepts[11].display_name | Region of interest |
| concepts[12].id | https://openalex.org/C153180895 |
| concepts[12].level | 2 |
| concepts[12].score | 0.332281231880188 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7148389 |
| concepts[12].display_name | Pattern recognition (psychology) |
| concepts[13].id | https://openalex.org/C115961682 |
| concepts[13].level | 2 |
| concepts[13].score | 0.21004080772399902 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q860623 |
| concepts[13].display_name | Image (mathematics) |
| concepts[14].id | https://openalex.org/C86803240 |
| concepts[14].level | 0 |
| concepts[14].score | 0.12042707204818726 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[14].display_name | Biology |
| concepts[15].id | https://openalex.org/C121332964 |
| concepts[15].level | 0 |
| concepts[15].score | 0.1186385452747345 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[15].display_name | Physics |
| concepts[16].id | https://openalex.org/C120665830 |
| concepts[16].level | 1 |
| concepts[16].score | 0.08139121532440186 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q14620 |
| concepts[16].display_name | Optics |
| concepts[17].id | https://openalex.org/C151730666 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q7205 |
| concepts[17].display_name | Paleontology |
| concepts[18].id | https://openalex.org/C173608175 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q232661 |
| concepts[18].display_name | Parallel computing |
| concepts[19].id | https://openalex.org/C157915830 |
| concepts[19].level | 2 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q2928001 |
| concepts[19].display_name | Bubble |
| concepts[20].id | https://openalex.org/C129307140 |
| concepts[20].level | 3 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q6795880 |
| concepts[20].display_name | Maximum bubble pressure method |
| concepts[21].id | https://openalex.org/C199360897 |
| concepts[21].level | 1 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[21].display_name | Programming language |
| concepts[22].id | https://openalex.org/C95444343 |
| concepts[22].level | 1 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q7141 |
| concepts[22].display_name | Cell biology |
| keywords[0].id | https://openalex.org/keywords/colocalization |
| keywords[0].score | 0.9147636890411377 |
| keywords[0].display_name | Colocalization |
| keywords[1].id | https://openalex.org/keywords/visualization |
| keywords[1].score | 0.7809417247772217 |
| keywords[1].display_name | Visualization |
| keywords[2].id | https://openalex.org/keywords/thresholding |
| keywords[2].score | 0.765959620475769 |
| keywords[2].display_name | Thresholding |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.7589499950408936 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/software |
| keywords[4].score | 0.607372522354126 |
| keywords[4].display_name | Software |
| keywords[5].id | https://openalex.org/keywords/context |
| keywords[5].score | 0.5225980877876282 |
| keywords[5].display_name | Context (archaeology) |
| keywords[6].id | https://openalex.org/keywords/confocal |
| keywords[6].score | 0.51756352186203 |
| keywords[6].display_name | Confocal |
| keywords[7].id | https://openalex.org/keywords/interface |
| keywords[7].score | 0.46025383472442627 |
| keywords[7].display_name | Interface (matter) |
| keywords[8].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[8].score | 0.4497910141944885 |
| keywords[8].display_name | Artificial intelligence |
| keywords[9].id | https://openalex.org/keywords/computer-vision |
| keywords[9].score | 0.4465925395488739 |
| keywords[9].display_name | Computer vision |
| keywords[10].id | https://openalex.org/keywords/graphical-user-interface |
| keywords[10].score | 0.4379340708255768 |
| keywords[10].display_name | Graphical user interface |
| keywords[11].id | https://openalex.org/keywords/region-of-interest |
| keywords[11].score | 0.43776553869247437 |
| keywords[11].display_name | Region of interest |
| keywords[12].id | https://openalex.org/keywords/pattern-recognition |
| keywords[12].score | 0.332281231880188 |
| keywords[12].display_name | Pattern recognition (psychology) |
| keywords[13].id | https://openalex.org/keywords/image |
| keywords[13].score | 0.21004080772399902 |
| keywords[13].display_name | Image (mathematics) |
| keywords[14].id | https://openalex.org/keywords/biology |
| keywords[14].score | 0.12042707204818726 |
| keywords[14].display_name | Biology |
| keywords[15].id | https://openalex.org/keywords/physics |
| keywords[15].score | 0.1186385452747345 |
| keywords[15].display_name | Physics |
| keywords[16].id | https://openalex.org/keywords/optics |
| keywords[16].score | 0.08139121532440186 |
| keywords[16].display_name | Optics |
| language | en |
| locations[0].id | doi:10.3389/fphys.2024.1440099 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S52732750 |
| locations[0].source.issn | 1664-042X |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1664-042X |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Frontiers in Physiology |
| locations[0].source.host_organization | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_name | Frontiers Media |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_lineage_names | Frontiers Media |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Frontiers in Physiology |
| locations[0].landing_page_url | https://doi.org/10.3389/fphys.2024.1440099 |
| locations[1].id | pmid:39296518 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Frontiers in physiology |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/39296518 |
| locations[2].id | pmh:oai:doaj.org/article:fc6763c85852409e8ea369043dd28bb9 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Frontiers in Physiology, Vol 15 (2024) |
| locations[2].landing_page_url | https://doaj.org/article/fc6763c85852409e8ea369043dd28bb9 |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:11408364 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Front Physiol |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/11408364 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5092103144 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Xiang Chen |
| authorships[0].countries | CA |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I130438778 |
| authorships[0].affiliations[0].raw_affiliation_string | Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada. |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I130438778 |
| authorships[0].affiliations[1].raw_affiliation_string | Department of Computer Science, Faculty of Science, Memorial University of Newfoundland, St. John's, NL, Canada. |
| authorships[0].institutions[0].id | https://openalex.org/I130438778 |
| authorships[0].institutions[0].ror | https://ror.org/04haebc03 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I130438778 |
| authorships[0].institutions[0].country_code | CA |
| authorships[0].institutions[0].display_name | Memorial University of Newfoundland |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Xiang Chen |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Computer Science, Faculty of Science, Memorial University of Newfoundland, St. John's, NL, Canada., Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada. |
| authorships[1].author.id | https://openalex.org/A5041840010 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-0129-7427 |
| authorships[1].author.display_name | Teena Thakur |
| authorships[1].countries | SG |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I165932596, https://openalex.org/I4210103786 |
| authorships[1].affiliations[0].raw_affiliation_string | Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. |
| authorships[1].institutions[0].id | https://openalex.org/I4210103786 |
| authorships[1].institutions[0].ror | https://ror.org/025yypj46 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I4210103786, https://openalex.org/I4210150261 |
| authorships[1].institutions[0].country_code | SG |
| authorships[1].institutions[0].display_name | National University Cancer Institute, Singapore |
| authorships[1].institutions[1].id | https://openalex.org/I165932596 |
| authorships[1].institutions[1].ror | https://ror.org/01tgyzw49 |
| authorships[1].institutions[1].type | education |
| authorships[1].institutions[1].lineage | https://openalex.org/I165932596 |
| authorships[1].institutions[1].country_code | SG |
| authorships[1].institutions[1].display_name | National University of Singapore |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Teena Thakur |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. |
| authorships[2].author.id | https://openalex.org/A5008789298 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-9816-6137 |
| authorships[2].author.display_name | Anand D. Jeyasekharan |
| authorships[2].countries | SG |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I165932596, https://openalex.org/I4210103786 |
| authorships[2].affiliations[0].raw_affiliation_string | Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. |
| authorships[2].institutions[0].id | https://openalex.org/I4210103786 |
| authorships[2].institutions[0].ror | https://ror.org/025yypj46 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210103786, https://openalex.org/I4210150261 |
| authorships[2].institutions[0].country_code | SG |
| authorships[2].institutions[0].display_name | National University Cancer Institute, Singapore |
| authorships[2].institutions[1].id | https://openalex.org/I165932596 |
| authorships[2].institutions[1].ror | https://ror.org/01tgyzw49 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I165932596 |
| authorships[2].institutions[1].country_code | SG |
| authorships[2].institutions[1].display_name | National University of Singapore |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Anand D Jeyasekharan |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. |
| authorships[3].author.id | https://openalex.org/A5057599356 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-4789-8028 |
| authorships[3].author.display_name | Touati Benoukraf |
| authorships[3].countries | CA, SG |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I130438778 |
| authorships[3].affiliations[0].raw_affiliation_string | Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada. |
| authorships[3].affiliations[1].institution_ids | https://openalex.org/I165932596, https://openalex.org/I4210103786 |
| authorships[3].affiliations[1].raw_affiliation_string | Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. |
| authorships[3].institutions[0].id | https://openalex.org/I130438778 |
| authorships[3].institutions[0].ror | https://ror.org/04haebc03 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I130438778 |
| authorships[3].institutions[0].country_code | CA |
| authorships[3].institutions[0].display_name | Memorial University of Newfoundland |
| authorships[3].institutions[1].id | https://openalex.org/I4210103786 |
| authorships[3].institutions[1].ror | https://ror.org/025yypj46 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I4210103786, https://openalex.org/I4210150261 |
| authorships[3].institutions[1].country_code | SG |
| authorships[3].institutions[1].display_name | National University Cancer Institute, Singapore |
| authorships[3].institutions[2].id | https://openalex.org/I165932596 |
| authorships[3].institutions[2].ror | https://ror.org/01tgyzw49 |
| authorships[3].institutions[2].type | education |
| authorships[3].institutions[2].lineage | https://openalex.org/I165932596 |
| authorships[3].institutions[2].country_code | SG |
| authorships[3].institutions[2].display_name | National University of Singapore |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Touati Benoukraf |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore., Division of BioMedical Sciences, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada. |
| authorships[4].author.id | https://openalex.org/A5048349604 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-7543-5517 |
| authorships[4].author.display_name | Oscar Meruvia-Pastor |
| authorships[4].countries | CA |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I130438778 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Computer Science, Faculty of Science, Memorial University of Newfoundland, St. John's, NL, Canada. |
| authorships[4].institutions[0].id | https://openalex.org/I130438778 |
| authorships[4].institutions[0].ror | https://ror.org/04haebc03 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I130438778 |
| authorships[4].institutions[0].country_code | CA |
| authorships[4].institutions[0].display_name | Memorial University of Newfoundland |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Oscar Meruvia-Pastor |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Computer Science, Faculty of Science, Memorial University of Newfoundland, St. John's, NL, Canada. |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.3389/fphys.2024.1440099 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | ColocZStats: a z-stack signal colocalization extension tool for 3D slicer |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12859 |
| primary_topic.field.id | https://openalex.org/fields/13 |
| primary_topic.field.display_name | Biochemistry, Genetics and Molecular Biology |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1304 |
| primary_topic.subfield.display_name | Biophysics |
| primary_topic.display_name | Cell Image Analysis Techniques |
| related_works | https://openalex.org/W2003702921, https://openalex.org/W2765094844, https://openalex.org/W2047131072, https://openalex.org/W2593354205, https://openalex.org/W1828555256, https://openalex.org/W3167115936, https://openalex.org/W2884852261, https://openalex.org/W2084898082, https://openalex.org/W2094272082, https://openalex.org/W4237348051 |
| cited_by_count | 0 |
| locations_count | 4 |
| best_oa_location.id | doi:10.3389/fphys.2024.1440099 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S52732750 |
| best_oa_location.source.issn | 1664-042X |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1664-042X |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Frontiers in Physiology |
| best_oa_location.source.host_organization | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_name | Frontiers Media |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_lineage_names | Frontiers Media |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Frontiers in Physiology |
| best_oa_location.landing_page_url | https://doi.org/10.3389/fphys.2024.1440099 |
| primary_location.id | doi:10.3389/fphys.2024.1440099 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S52732750 |
| primary_location.source.issn | 1664-042X |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1664-042X |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Frontiers in Physiology |
| primary_location.source.host_organization | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_name | Frontiers Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_lineage_names | Frontiers Media |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Frontiers in Physiology |
| primary_location.landing_page_url | https://doi.org/10.3389/fphys.2024.1440099 |
| publication_date | 2024-09-04 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W2785967221, https://openalex.org/W2040483003, https://openalex.org/W2063559185, https://openalex.org/W2149975404, https://openalex.org/W1992744122, https://openalex.org/W2187312355, https://openalex.org/W2102883851, https://openalex.org/W2124733101, https://openalex.org/W2069720925, https://openalex.org/W2161353586, https://openalex.org/W1984105474, https://openalex.org/W6632643935, https://openalex.org/W2125782175, https://openalex.org/W4385498233, https://openalex.org/W2794425435, https://openalex.org/W2150737519, https://openalex.org/W2324758708, https://openalex.org/W2810010819, https://openalex.org/W2168816122, https://openalex.org/W3014687364, https://openalex.org/W2461431685, https://openalex.org/W6603257826, https://openalex.org/W2100726540, https://openalex.org/W4252617126, https://openalex.org/W1981143261, https://openalex.org/W2084120958, https://openalex.org/W2885283639, https://openalex.org/W2065913652, https://openalex.org/W2009621987, https://openalex.org/W2412879023, https://openalex.org/W2152012403, https://openalex.org/W1535417994, https://openalex.org/W6774311895, https://openalex.org/W1601798363, https://openalex.org/W3206481308, https://openalex.org/W3083406432, https://openalex.org/W2581625028, https://openalex.org/W3013098014, https://openalex.org/W1777400128, https://openalex.org/W2167279371, https://openalex.org/W2064416009, https://openalex.org/W2831736488, https://openalex.org/W2809963712, https://openalex.org/W2518755511, https://openalex.org/W2589034008, https://openalex.org/W2888781140, https://openalex.org/W4382563404, https://openalex.org/W4295009528, https://openalex.org/W1952921088, https://openalex.org/W2078519263, https://openalex.org/W2127890285, https://openalex.org/W2094272082, https://openalex.org/W2478727422, https://openalex.org/W4210246553 |
| referenced_works_count | 54 |
| abstract_inverted_index.a | 6, 37, 76, 146, 168, 183 |
| abstract_inverted_index.3D | 57, 166, 199 |
| abstract_inverted_index.In | 47, 82 |
| abstract_inverted_index.It | 103, 202 |
| abstract_inverted_index.To | 152 |
| abstract_inverted_index.an | 125, 156 |
| abstract_inverted_index.be | 5 |
| abstract_inverted_index.in | 11, 60, 95, 119, 216 |
| abstract_inverted_index.is | 15, 36, 132 |
| abstract_inverted_index.of | 23, 40, 56, 79, 211, 219 |
| abstract_inverted_index.on | 28, 141, 145, 197 |
| abstract_inverted_index.to | 4, 18, 98, 190 |
| abstract_inverted_index.ROI | 148, 195 |
| abstract_inverted_index.and | 14, 53, 118, 149, 172, 179, 194, 213, 221 |
| abstract_inverted_index.are | 92 |
| abstract_inverted_index.can | 71, 111, 203 |
| abstract_inverted_index.few | 68 |
| abstract_inverted_index.for | 116, 136, 165, 176, 209 |
| abstract_inverted_index.has | 2, 104, 162 |
| abstract_inverted_index.the | 42, 50, 100, 217 |
| abstract_inverted_index.(3D) | 114 |
| abstract_inverted_index.(VR) | 129 |
| abstract_inverted_index.With | 182 |
| abstract_inverted_index.been | 67, 105, 163 |
| abstract_inverted_index.form | 218 |
| abstract_inverted_index.free | 171 |
| abstract_inverted_index.from | 32 |
| abstract_inverted_index.have | 66 |
| abstract_inverted_index.into | 124 |
| abstract_inverted_index.some | 120 |
| abstract_inverted_index.such | 142 |
| abstract_inverted_index.that | 70, 107 |
| abstract_inverted_index.them | 123 |
| abstract_inverted_index.this | 83, 96 |
| abstract_inverted_index.used | 170 |
| abstract_inverted_index.based | 144 |
| abstract_inverted_index.cases | 121 |
| abstract_inverted_index.image | 29, 89, 177, 200 |
| abstract_inverted_index.still | 133 |
| abstract_inverted_index.study | 97 |
| abstract_inverted_index.there | 65, 131 |
| abstract_inverted_index.these | 109, 154 |
| abstract_inverted_index.while | 108 |
| abstract_inverted_index.(ROI). | 81 |
| abstract_inverted_index.allows | 188 |
| abstract_inverted_index.called | 158 |
| abstract_inverted_index.images | 143 |
| abstract_inverted_index.little | 134 |
| abstract_inverted_index.method | 39 |
| abstract_inverted_index.region | 78 |
| abstract_inverted_index.scene, | 130 |
| abstract_inverted_index.widely | 7, 169 |
| abstract_inverted_index.within | 75 |
| abstract_inverted_index.Slicer, | 167 |
| abstract_inverted_index.achieve | 19 |
| abstract_inverted_index.address | 153 |
| abstract_inverted_index.adopted | 8 |
| abstract_inverted_index.between | 44 |
| abstract_inverted_index.biology | 13 |
| abstract_inverted_index.broadly | 86 |
| abstract_inverted_index.conduct | 191 |
| abstract_inverted_index.current | 101 |
| abstract_inverted_index.deliver | 204 |
| abstract_inverted_index.despite | 49 |
| abstract_inverted_index.evolved | 3 |
| abstract_inverted_index.growing | 54 |
| abstract_inverted_index.imaging | 9 |
| abstract_inverted_index.issues, | 155 |
| abstract_inverted_index.levels. | 151 |
| abstract_inverted_index.metrics | 208 |
| abstract_inverted_index.package | 175 |
| abstract_inverted_index.produce | 214 |
| abstract_inverted_index.reality | 128 |
| abstract_inverted_index.reports | 215 |
| abstract_inverted_index.several | 85, 205 |
| abstract_inverted_index.stacks. | 201 |
| abstract_inverted_index.support | 72, 135 |
| abstract_inverted_index.systems | 69 |
| abstract_inverted_index.various | 61 |
| abstract_inverted_index.virtual | 127 |
| abstract_inverted_index.Applying | 25 |
| abstract_inverted_index.Confocal | 0 |
| abstract_inverted_index.accurate | 20 |
| abstract_inverted_index.adoption | 55 |
| abstract_inverted_index.analysis | 27, 74, 140, 178 |
| abstract_inverted_index.confocal | 33 |
| abstract_inverted_index.context, | 84 |
| abstract_inverted_index.diagrams | 220 |
| abstract_inverted_index.domains, | 64 |
| abstract_inverted_index.employed | 87 |
| abstract_inverted_index.explored | 94 |
| abstract_inverted_index.generate | 112 |
| abstract_inverted_index.imported | 198 |
| abstract_inverted_index.interest | 80, 212 |
| abstract_inverted_index.observed | 106 |
| abstract_inverted_index.obtained | 31 |
| abstract_inverted_index.research | 63 |
| abstract_inverted_index.software | 59, 174 |
| abstract_inverted_index.transfer | 122 |
| abstract_inverted_index.utilized | 17 |
| abstract_inverted_index.z-stacks | 30 |
| abstract_inverted_index.addition, | 48 |
| abstract_inverted_index.developed | 164 |
| abstract_inverted_index.different | 45 |
| abstract_inverted_index.essential | 206 |
| abstract_inverted_index.extension | 157 |
| abstract_inverted_index.immersive | 126 |
| abstract_inverted_index.intensity | 192 |
| abstract_inverted_index.molecular | 12 |
| abstract_inverted_index.platforms | 91 |
| abstract_inverted_index.proteins. | 24 |
| abstract_inverted_index.revealing | 41 |
| abstract_inverted_index.selection | 196 |
| abstract_inverted_index.technique | 10 |
| abstract_inverted_index.z-stacks, | 117 |
| abstract_inverted_index.advantages | 52 |
| abstract_inverted_index.biological | 88 |
| abstract_inverted_index.dependable | 38 |
| abstract_inverted_index.frequently | 16 |
| abstract_inverted_index.interface, | 186 |
| abstract_inverted_index.landscape. | 102 |
| abstract_inverted_index.microscopy | 1, 62 |
| abstract_inverted_index.molecules. | 46 |
| abstract_inverted_index.performing | 137 |
| abstract_inverted_index.scientific | 180 |
| abstract_inverted_index.structures | 210 |
| abstract_inverted_index.understand | 99 |
| abstract_inverted_index.(pronounced | 160 |
| abstract_inverted_index.ColocZStats | 159, 187 |
| abstract_inverted_index.established | 51 |
| abstract_inverted_index.microscopes | 35 |
| abstract_inverted_index.open-source | 173 |
| abstract_inverted_index.subcellular | 21 |
| abstract_inverted_index.applications | 110 |
| abstract_inverted_index.fluorescence | 34 |
| abstract_inverted_index.localization | 22 |
| abstract_inverted_index.meticulously | 93 |
| abstract_inverted_index.quantitative | 138 |
| abstract_inverted_index.relationship | 43 |
| abstract_inverted_index.thresholding | 150, 193 |
| abstract_inverted_index.user-defined | 147 |
| abstract_inverted_index.investigators | 189 |
| abstract_inverted_index.spreadsheets. | 222 |
| abstract_inverted_index.user-friendly | 185 |
| abstract_inverted_index.visualization | 58, 90 |
| abstract_inverted_index.colocalization | 26, 73, 139, 207 |
| abstract_inverted_index.user-specified | 77 |
| abstract_inverted_index.visualization. | 181 |
| abstract_inverted_index.custom-designed | 184 |
| abstract_inverted_index.reconstructions | 115 |
| abstract_inverted_index.Coloc-Zee-Stats) | 161 |
| abstract_inverted_index.three-dimensional | 113 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.10561122 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |