Detection of dead stained microscopic cells based on color intensity and contrast

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Detection of dead stained microscopic cells based on color intensity and contrast

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Detection of dead stained microscopic cells based on color intensity and contrast

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Intelligent Systems and Computing. Volume 407

ISBN

978-3-319-26688-6

ISSN

2194-5357

e-ISSN

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Počet stran výsledku

12

Strana od-do

57-68

Název nakladatele

Springer Verlag

Místo vydání

London

Místo konání akce

Beni Suef

Datum konání akce

28. 11. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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