Automated search for information content in fluorescence microscopy images using modified autofocusing approach
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F09%3A00042695" target="_blank" >RIV/00216224:14330/09:00042695 - isvavai.cz</a>
Výsledek na webu
—
DOI - Digital Object Identifier
—
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Automated search for information content in fluorescence microscopy images using modified autofocusing approach
Popis výsledku v původním jazyce
This contribution shows how to modify classical autofocusing in optical microscopy to perform automated search for information content in image data generated by the instrument. The new approach is useful for finding 3D regions of interest prior to imageacquisition. This enables the user to record precisely those places in space that contain useful image data, which results in shorter acquisition time and less memory consumption as compared to the acquisition of classical large rectangular volumes (parallelepipeds) containing more background regions than object regions (especially for a sparse specimen and camera-based systems). The standard process of image focusing uses the following approach: the algorithm steps along the z-axis and evaluates focusvalues of each acquired image according to a focus function in order to find the maximum of this function. Unimodal behavior of the focus function is assumed, i.e. it is expected that only one important maximum exists.
Název v anglickém jazyce
Automated search for information content in fluorescence microscopy images using modified autofocusing approach
Popis výsledku anglicky
This contribution shows how to modify classical autofocusing in optical microscopy to perform automated search for information content in image data generated by the instrument. The new approach is useful for finding 3D regions of interest prior to imageacquisition. This enables the user to record precisely those places in space that contain useful image data, which results in shorter acquisition time and less memory consumption as compared to the acquisition of classical large rectangular volumes (parallelepipeds) containing more background regions than object regions (especially for a sparse specimen and camera-based systems). The standard process of image focusing uses the following approach: the algorithm steps along the z-axis and evaluates focusvalues of each acquired image according to a focus function in order to find the maximum of this function. Unimodal behavior of the focus function is assumed, i.e. it is expected that only one important maximum exists.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
JD - Využití počítačů, robotika a její aplikace
OECD FORD obor
—
Návaznosti výsledku
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)
Ostatní
Rok uplatnění
2009
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů