Information Content Analysis in Automated Fluorescence Microscopy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F10%3A00045345" target="_blank" >RIV/00216224:14330/10:00045345 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Information Content Analysis in Automated Fluorescence Microscopy

Popis výsledku v původním jazyce

This thesis deals with automated fluorescence microscopy, in particular with automatic content analysis algorithms, which is a concept that we introduced as a generalization of the well-established autofocusing procedure. The aim of such algorithms is toenable automatic selection of regions of interest to be acquired and subsequent acquisition of images with high information content (i.e. containing objects of interest), in our case in fluorescence mode. The emphasis is on accuracy and reliability. Speed is also a critical factor due to the common phenomenon of sample photobleaching. The main challenge to the state of the art methods is the existence of more planes (more focus positions) with high information content to be acquired, which is the consequence of specimen thickness or simply of the fact that all the imaged objects do not lie in one plane.

Název v anglickém jazyce

Information Content Analysis in Automated Fluorescence Microscopy

Popis výsledku anglicky

This thesis deals with automated fluorescence microscopy, in particular with automatic content analysis algorithms, which is a concept that we introduced as a generalization of the well-established autofocusing procedure. The aim of such algorithms is toenable automatic selection of regions of interest to be acquired and subsequent acquisition of images with high information content (i.e. containing objects of interest), in our case in fluorescence mode. The emphasis is on accuracy and reliability. Speed is also a critical factor due to the common phenomenon of sample photobleaching. The main challenge to the state of the art methods is the existence of more planes (more focus positions) with high information content to be acquired, which is the consequence of specimen thickness or simply of the fact that all the imaged objects do not lie in one plane.

Druh

O - Ostatní výsledky

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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