DSpace Repositorium (Manakin basiert)

Multi-Channel Nuclear Analysis: An ImageJ/FIJI Plugin for Automated Nuclear Segmentation and Multi-Channel Fluorescence Analysis

Zur Kurzanzeige

dc.contributor.author Waisman, Ariel
dc.date.accessioned 2025-10-27T16:10:22Z
dc.date.available 2025-10-27T16:10:22Z
dc.date.issued 2025
dc.identifier.citation Waisman A. Multi-Channel Nuclear Analysis: An ImageJ/FIJI Plugin for Automated Nuclear Segmentation and Multi-Channel Fluorescence Analysis. MicroPubl Biol. 2025 Jun 6;2025:10.17912/micropub.biology.001590. doi: 10.17912/micropub.biology.001590. es_ES
dc.identifier.uri https://doi.org/10.17912/micropub.biology.001590
dc.identifier.uri https://repositorio.fleni.org.ar/xmlui/handle/123456789/1432
dc.description.abstract Quantitative analysis of fluorescence microscopy images is essential for studying expression levels, subcellular localization and co-occurrence of proteins and other biomolecules. While several automated tools exist for specific applications, there remains a need for user-friendly, customizable tools that can analyze multi-channel fluorescence images with nuclear segmentation capabilities. Here we present Multi-Channel Nuclear Analysis, an open-source ImageJ/FIJI plugin that combines the robust nuclear segmentation capabilities of StarDist with versatile multi-channel analysis features. The tool provides a graphical user interface for configuring analysis parameters, processes multiple images in batch mode, and generates both individual and consolidated measurement tables to facilitate downstream analysis. A companion tool for merging separate channel files into multi-channel images extends compatibility to diverse microscopy systems. Together, these tools enable researchers without extensive programming experience to perform comprehensive quantitative analysis of nuclear-centered multi-channel fluorescence images. es_ES
dc.language.iso eng es_ES
dc.publisher Caltech Library es_ES
dc.subject Biology es_ES
dc.subject Biología es_ES
dc.title Multi-Channel Nuclear Analysis: An ImageJ/FIJI Plugin for Automated Nuclear Segmentation and Multi-Channel Fluorescence Analysis es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.description.fil Fil: Waisman, Ariel. Fleni. Instituto de Neurociencias FLENI-CONICET. Laboratorio de Investigación Aplicada a las Neurociencias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
dc.relation.ispartofCOUNTRY Estados Unidos
dc.relation.ispartofCITY Pasadena
dc.relation.ispartofTITLE microPublication biology
dc.relation.ispartofISSN 2578-9430
dc.type.snrd info:ar-repo/semantics/artículo es_ES


Dateien zu dieser Ressource

Das Dokument erscheint in:

Zur Kurzanzeige

DSpace Suche


Stöbern

Mein Benutzerkonto

Statistik