Information content analysis in automated microscopy imaging using modified autofocusing approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F10%3A00044036" target="_blank" >RIV/00216224:14330/10:00044036 - 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 microscopy imaging using modified autofocusing approach

Popis výsledku v původním jazyce

This contribution shows how to modify classical autofocusing in optical microscopy to perform automated analysis of information content in image data generated by the instrument, even if dealing with thick specimen or working in confocal mode. The new approach is useful for finding 3D regions of interest prior to image acquisition, which enables the user to record precisely those places in space that contain useful image data. This results in shorter acquisition time and less memory consumption as compared to the acquisition of classical large rectangular volumes containing more background regions than object regions (especially for a sparse specimen and camera-based systems). The standard process of image focusing assumes unimodal behaviour of the focus function. In real world, however, this assumption is often not fulfilled and the objects normally do not lie in one plane.

Název v anglickém jazyce

Information content analysis in automated microscopy imaging using modified autofocusing approach

Popis výsledku anglicky

This contribution shows how to modify classical autofocusing in optical microscopy to perform automated analysis of information content in image data generated by the instrument, even if dealing with thick specimen or working in confocal mode. The new approach is useful for finding 3D regions of interest prior to image acquisition, which enables the user to record precisely those places in space that contain useful image data. This results in shorter acquisition time and less memory consumption as compared to the acquisition of classical large rectangular volumes containing more background regions than object regions (especially for a sparse specimen and camera-based systems). The standard process of image focusing assumes unimodal behaviour of the focus function. In real world, however, this assumption is often not fulfilled and the objects normally do not lie in one plane.

Druh

O - Ostatní výsledky

CEP obor

JD - Využití počítačů, robotika a její aplikace

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