Journalartikel - Artikel | | Peer reviewed Open Access

RAMTaB: Robust Alignment of Multi-Tag Bioimages

Autor(en)
Raza, Shan-E-Ahmed ; Epstein, David ; Nattkemper, Tim Wilhelm 0000-0002-7986-1158 ; Rajpoot, Nasir
Normierter Zeitschriftentitel
PLOS ONE 
DOI
10.1371/journal.pone.0030894
ISSN
1932-6203
PubMed-ID
22363510
URN
urn:nbn:de:0070-pub-24557530
URL
https://pub.uni-bielefeld.de/record/2455753
Web of Science-ID
000302730100030

Weitere Details

Sprache
englisch
Darstellungsform
Text
Band
7
Artikelnummer
e30894
Ausgabe
2
Schlagwörter
MELC , TIS , bioimage informatics , image registration , toponomics
Link zum Volltext (intern)
https://pub.uni-bielefeld.de/record/2455753
DDC
004

In recent years, new microscopic imaging techniques have evolved to allow us to visualize several different proteins (or other biomolecules) in a visual field. Analysis of protein co-localization becomes viable because molecules can interact only when they are located close to each other. We present a novel approach to align images in a multi-tag fluorescence image stack. The proposed approach is applicable to multi-tag bioimaging systems which (a) acquire fluorescence images by sequential staining and (b) simultaneously capture a phase contrast image corresponding to each of the fluorescence images. To the best of our knowledge, there is no existing method in the literature, which addresses simultaneous registration of multi-tag bioimages and selection of the reference image in order to maximize the overall overlap between the images.

Zitierstile

Download
 RDF/XML-Format
 JSON-LD-Format
 Turtle-Format
 N3-Format