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CAS: Cell Annotation Software – Research on Neuronal Tissue Has Never Been so Transparent

CAS (Cell Annotation Software) is a novel tool for analysis of microscopic images and selection of the cell soma or nucleus, depending on the research objectives in medicine, biology, bioinformatics, etc. It replaces time-consuming and tiresome manual analysis of single images not only with automati...

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Detalles Bibliográficos
Autores principales: Nurzynska, Karolina, Mikhalkin, Aleksandr, Piorkowski, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5671565/
https://www.ncbi.nlm.nih.gov/pubmed/28849545
http://dx.doi.org/10.1007/s12021-017-9340-2
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author Nurzynska, Karolina
Mikhalkin, Aleksandr
Piorkowski, Adam
author_facet Nurzynska, Karolina
Mikhalkin, Aleksandr
Piorkowski, Adam
author_sort Nurzynska, Karolina
collection PubMed
description CAS (Cell Annotation Software) is a novel tool for analysis of microscopic images and selection of the cell soma or nucleus, depending on the research objectives in medicine, biology, bioinformatics, etc. It replaces time-consuming and tiresome manual analysis of single images not only with automatic methods for object segmentation based on the Statistical Dominance Algorithm, but also semi-automatic tools for object selection within a marked region of interest. For each image, a broad set of object parameters is computed, including shape features and optical and topographic characteristics, thus giving additional insight into data. Our solution for cell detection and analysis has been verified by microscopic data and its application in the annotation of the lateral geniculate nucleus has been examined in a case study.
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spelling pubmed-56715652017-11-17 CAS: Cell Annotation Software – Research on Neuronal Tissue Has Never Been so Transparent Nurzynska, Karolina Mikhalkin, Aleksandr Piorkowski, Adam Neuroinformatics Software Original Article CAS (Cell Annotation Software) is a novel tool for analysis of microscopic images and selection of the cell soma or nucleus, depending on the research objectives in medicine, biology, bioinformatics, etc. It replaces time-consuming and tiresome manual analysis of single images not only with automatic methods for object segmentation based on the Statistical Dominance Algorithm, but also semi-automatic tools for object selection within a marked region of interest. For each image, a broad set of object parameters is computed, including shape features and optical and topographic characteristics, thus giving additional insight into data. Our solution for cell detection and analysis has been verified by microscopic data and its application in the annotation of the lateral geniculate nucleus has been examined in a case study. Springer US 2017-08-29 2017 /pmc/articles/PMC5671565/ /pubmed/28849545 http://dx.doi.org/10.1007/s12021-017-9340-2 Text en © The Author(s) 2017
spellingShingle Software Original Article
Nurzynska, Karolina
Mikhalkin, Aleksandr
Piorkowski, Adam
CAS: Cell Annotation Software – Research on Neuronal Tissue Has Never Been so Transparent
title CAS: Cell Annotation Software – Research on Neuronal Tissue Has Never Been so Transparent
title_full CAS: Cell Annotation Software – Research on Neuronal Tissue Has Never Been so Transparent
title_fullStr CAS: Cell Annotation Software – Research on Neuronal Tissue Has Never Been so Transparent
title_full_unstemmed CAS: Cell Annotation Software – Research on Neuronal Tissue Has Never Been so Transparent
title_short CAS: Cell Annotation Software – Research on Neuronal Tissue Has Never Been so Transparent
title_sort cas: cell annotation software – research on neuronal tissue has never been so transparent
topic Software Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5671565/
https://www.ncbi.nlm.nih.gov/pubmed/28849545
http://dx.doi.org/10.1007/s12021-017-9340-2
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