J 2011

Image Division Technique in Pre-acquisition Analysis of Information Content for Automated Microscopy

BRÁZDILOVÁ, Silvie Luisa and Michal KOZUBEK

Basic information

Original name

Image Division Technique in Pre-acquisition Analysis of Information Content for Automated Microscopy

Authors

BRÁZDILOVÁ, Silvie Luisa (203 Czech Republic, belonging to the institution) and Michal KOZUBEK (203 Czech Republic, guarantor, belonging to the institution)

Edition

Journal of Microscopy, Oxford, Blackwell Science, 2011, 0022-2720

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

20200 2.2 Electrical engineering, Electronic engineering, Information engineering

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 1.631

RIV identification code

RIV/00216224:14330/11:00051479

Organization unit

Faculty of Informatics

DOI

UT WoS

000290627600006

Keywords in English

Automated microscopy; fluorescence microscopy; autofocusing; multimodal content function; image acquisition; information content analysis

Tags

Tags

International impact, Reviewed
Změněno: 10/3/2018 16:44, prof. RNDr. Michal Kozubek, Ph.D.

Abstract

V originále

This article presents a method that allows for reliable automated image acquisition of specimens with high information content in light microscopy with emphasis on fluorescence microscopy applications. Automated microscopy typically relies on autofocusing used for the analysis of information content behaviour along z-axis within each field of view. However, in the case of a field of view containing more objects that do not lie precisely in one z-plane, traditional autofocusing methods fail due to their principle of operation. We avoid this issue by reducing the original problem to a set of simple and performable tasks: we divide the field of view into a small number of tiles and process each of them individually. The obtained results enable discovering z-planes with rich information content that remain hidden during global analysis of the whole field of view. Our approach therefore outperforms other acquisition methods including the manual one. A large part of the contribution is oriented toward practical application.

Links

LC535, research and development project
Name: Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii
Investor: Ministry of Education, Youth and Sports of the CR, Dynamika a organizace chromosomů během buněčného cyklu v normě a patologii
MSM0021622419, plan (intention)
Name: Vysoce paralelní a distribuované výpočetní systémy
Investor: Ministry of Education, Youth and Sports of the CR, Highly Parallel and Distributed Computing Systems
MUNI/A/0914/2009, interní kód MU
Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace (Acronym: SV-FI MAV)
Investor: Masaryk University, Category A
2B06052, research and development project
Name: Vytipování markerů, screening a časná diagnostika nádorových onemocnění pomocí vysoce automatizovaného zpracování multidimenzionálních biomedicínských obrazů (Acronym: Biomarker)
Investor: Ministry of Education, Youth and Sports of the CR, Determination of markers, screening and early diagnostics of cancer diseases using highly automated processing of multidimensional biomedical images