Tool for Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F11%3A00052527" target="_blank" >RIV/00216224:14330/11:00052527 - 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

Tool for Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy

Popis výsledku v původním jazyce

In the field of fluorescence microscopy image analysis, motion tracking and segmentation algorithms are indispensable tools for tracking cells and for time-resolved analysis of cell characteristics or events. Although there are many such algorithms in everyday use, most of them are not properly validated. We see the ground truth (GT) information as a very important tool for the verification of image processing algorithms. Unfortunately, it is not readily available. Many algorithms in this field of studyare, therefore, validated only against GT consisting of real data manually annotated by a human expert. This annotation is, however, a very difficult, cumbersome, and time consuming task, especially, when single 3D image or even 3D image sequence is considered. We present a novel simulation tool that is capable of generating fully synthetic fluorescence microscopy 3D image data accompanied with GT. The generated data can be either static images or time-lapse sequences.

Název v anglickém jazyce

Tool for Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy

Popis výsledku anglicky

In the field of fluorescence microscopy image analysis, motion tracking and segmentation algorithms are indispensable tools for tracking cells and for time-resolved analysis of cell characteristics or events. Although there are many such algorithms in everyday use, most of them are not properly validated. We see the ground truth (GT) information as a very important tool for the verification of image processing algorithms. Unfortunately, it is not readily available. Many algorithms in this field of studyare, therefore, validated only against GT consisting of real data manually annotated by a human expert. This annotation is, however, a very difficult, cumbersome, and time consuming task, especially, when single 3D image or even 3D image sequence is considered. We present a novel simulation tool that is capable of generating fully synthetic fluorescence microscopy 3D image data accompanied with GT. The generated data can be either static images or time-lapse sequences.

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

2011

Kód důvěrnosti údajů

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