J 2015

Toward a Morphodynamic Model of the Cell

ORTIZ-DE-SOLÓRZANO, Carlos, Arrate MUÑOZ-BARRUTIA, Erik MEIJERING and Michal KOZUBEK

Basic information

Original name

Toward a Morphodynamic Model of the Cell

Name in Czech

Na cestě k morfo-dynamickému modelu buňky

Authors

ORTIZ-DE-SOLÓRZANO, Carlos (724 Spain), Arrate MUÑOZ-BARRUTIA (724 Spain), Erik MEIJERING (528 Netherlands) and Michal KOZUBEK (203 Czech Republic, guarantor, belonging to the institution)

Edition

IEEE Signal Processing Magazine, New York, IEEE, 2015, 1053-5888

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10610 Biophysics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 6.671

RIV identification code

RIV/00216224:14330/15:00080606

Organization unit

Faculty of Informatics

UT WoS

000346043800008

Keywords in English

cell model; image segmentation; cell tracking; cell synthesis

Tags

Tags

International impact, Reviewed
Změněno: 29/4/2016 06:59, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

From a systems biology perspective, the cell is the principal element of information integration. Therefore, understanding the cell in its spatio-temporal context is the key to unraveling many of the still unknown mechanisms of life and disease. The purpose of this manuscript is to review image-processing aspects relevant to the quantification of cell morphology and dynamics. We cover both acquisition (hardware) and analysis (software) related issues, in a multi-scale fashion, from the detection of cellular components to the description of the entire cell in relation to its extracellular environment. Then, we describe ongoing efforts to integrate all this vast and diverse information along with data about the biomechanics of the cell, to create a credible model of cell morphology and behavior.

Links

GBP302/12/G157, research and development project
Name: Dynamika a organizace chromosomů během buněčného cyklu a při diferenciaci v normě a patologii
Investor: Czech Science Foundation