Detection of dead stained microscopic cells based on color intensity and contrast
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099073" target="_blank" >RIV/61989100:27240/16:86099073 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-26690-9_6" target="_blank" >http://dx.doi.org/10.1007/978-3-319-26690-9_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-26690-9_6" target="_blank" >10.1007/978-3-319-26690-9_6</a>
Alternative languages
Result language
angličtina
Original language name
Detection of dead stained microscopic cells based on color intensity and contrast
Original language description
Apoptosis is an imperative constituent of various processes including proper progression and functioning of the immune system, embryonic development as well as chemical-induced cell death. Improper apoptosis is a reason in numerous human/animal's conditions involving ischemic damage, neurodegenerative diseases, autoimmune disorders and various types of cancer. An outstanding feature of neurodegenerative diseases is the loss of specific neuronal populations. Thus, the detection of the dead cells is a necessity. This paper proposes a novel algorithm to achieve the dead cells detection based on color intensity and contrast changes and aims for fully automatic apoptosis detection based on image analysis method. A stained cultures images using Caspase stain of albino rats hippocampus specimens using light microscope (total 21 images) were used to evaluate the system performance. The results proved that the proposed system is efficient as it achieved high accuracy (98.89 +- 0.76 %) and specificity (99.36 +- 0.63 %) and good mean sensitivity level of (72.34 +- 19.85 %). (C) Springer International Publishing Switzerland 2016.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 407
ISBN
978-3-319-26688-6
ISSN
2194-5357
e-ISSN
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Number of pages
12
Pages from-to
57-68
Publisher name
Springer Verlag
Place of publication
London
Event location
Beni Suef
Event date
Nov 28, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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