J 2006

Fast Point-Based 3D Alignment of Live Cells

MATULA, Petr, Pavel MATULA, Michal KOZUBEK and Vladimír DVOŘÁK

Basic information

Original name

Fast Point-Based 3D Alignment of Live Cells

Name in Czech

Rychlé lícování 3D obrazů živých buněk založené na bodech

Authors

MATULA, Petr (203 Czech Republic, guarantor), Pavel MATULA (203 Czech Republic), Michal KOZUBEK (203 Czech Republic) and Vladimír DVOŘÁK (203 Czech Republic)

Edition

IEEE Transactions on Image Processing, 2006, 1057-7149

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 2.715

RIV identification code

RIV/00216224:14330/06:00015279

Organization unit

Faculty of Informatics

UT WoS

000239286900026

Keywords in English

Live cell imaging; point pattern matching; 3D image registration

Tags

Tags

International impact, Reviewed
Změněno: 18/1/2007 18:27, prof. RNDr. Michal Kozubek, Ph.D.

Abstract

ORIG CZ

V originále

Typical time intervals between acquisitions of 3D images of the same cell in live cell imaging are in the orders of minutes. In the meantime the live cell can move in a water basin on the stage. This movement can hamper the studies of intranuclear processes. We propose a fast point-based image registration method for the suppression of the movement of a cell as a whole in the image data. First, centroids of certain intracellular objects are computed for each image in a time-lapse series. Then, a matching between the centroids, which have the maximal number of pairs, is sought between consecutive point-sets by a 3D extension of a 2D fast point pattern matching method, which is invariant to rotation, translation, local distortion and extra/missing points. The proposed 3D extension assumes rotations only around the z-axis to retain the complexity of the original method. The final step involves computing the optimal fully 3D transformation between images from corresponding points in the least squares manner. The robustness of the method was evaluated on generated data. The results of simulations show that the method is very precise and its correctness can be estimated. This article also presents two practical application examples, namely the registration of images of HP1 domains, and the registration of images of telomeres. More than 97% of time-consecutive images were successfully registered. The results show that the method is very well suited to live cell imaging.

In Czech

V článku je prezentován nový algoritmus pro rychlé lícování 3D obrazů živých buněk založené na bodech

Links

GA202/04/0907, research and development project
Name: Cytometrie s vysokým rozlišením na živých buňkách
Investor: Czech Science Foundation, High-resolution cytometry of living cells
GP204/03/D034, research and development project
Name: Trojrozměrná analýza buněčných jader s využitím obrazové cytometrie
Investor: Czech Science Foundation, Threedimensional analysis of cell nuclei using image cytometry
IAA5004306, research and development project
Name: Struktura lidského genomu
Investor: Academy of Sciences of the Czech Republic, Human genome structure
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