D 2003

Improving measurement precision using automated micro-axial tomography

MATULA, Petr, Magdalena SKALNÍKOVÁ, Michal KOZUBEK and Michael HAUSMANN

Basic information

Original name

Improving measurement precision using automated micro-axial tomography

Authors

MATULA, Petr (203 Czech Republic), Magdalena SKALNÍKOVÁ (203 Czech Republic), Michal KOZUBEK (203 Czech Republic, guarantor) and Michael HAUSMANN (276 Germany)

Edition

Brno, Biophysics of the Genome, p. 51-53, 3 pp. 2003

Publisher

Masaryk University

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

20200 2.2 Electrical engineering, Electronic engineering, Information engineering

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

RIV identification code

RIV/00216224:14330/03:00009008

Organization unit

Faculty of Informatics

ISBN

80-210-3226-X

Keywords in English

human genome structure; image analysis

Tags

International impact
Změněno: 29/10/2010 14:39, prof. RNDr. Michal Kozubek, Ph.D.

Abstract

V originále

Distance measurement between small targets plays an important role in human genome research. The precision of such measurements depends on the quality of images, the localisation precision of the targets and the orientation of the line connecting the targets. In micro-axial tomography, the observed objects (cells) are fixed to a glass fibre, which can be rotated. By rotating the fibre the orientation of the measured targets can be changed. The relationship between the localisation precision and the orientation of the targets has been studied in simple simulations. In micro-axial tomography, two main approaches to measurement exist. Either one high-resolution image is reconstructed from the acquired tilted images and the measurements are performed on the single image or the images in the series are measured separately and the results are combined. Both approaches are compared and discussed here.

Links

IBS5004010, research and development project
Name: Vývoj nových diagnostických technik pro onkologii
Investor: Academy of Sciences of the Czech Republic, Development of new diagnostic teniques for oncology
MSM 143300002, plan (intention)
Name: Využití počítačové analýzy obrazu v optické mikroskopii
Investor: Ministry of Education, Youth and Sports of the CR, Application of computer image analysis in optical microscopy