UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

GELFISH - Graphical environment for labelling fluorescence in-situ hybridization images

Lerner, B; Dhanjal, S; Hulten, MA; (2001) GELFISH - Graphical environment for labelling fluorescence in-situ hybridization images. J MICROSC-OXFORD , 203 258 - 268.

Full text not available from this repository.

Abstract

Signal (dot) counting in fluorescence in-situ hybridization (FISH) images that relies on an automatic focusing method for obtaining clearly defined images is a time-consuming procedure prone to errors. Our recently developed system has dispensed with automatic focusing, and instead relies on a neural network classifying focused and unfocused signals into valid and artefact data, respectively, and thereby discriminating between in- and out-of-focus images. However, to train the classifier accurate labelling of the image signals is required. GELFISH is a Graphical Environment for Labelling FISH images that enables the rejection of unanalysable nuclei and labelling of FISH signals simply and rapidly. GELFISH is flexible and can be modified easily for additional FISH applications. Also, implemented using popular software, the environment can be employed on any computer by any user. Finally, GELFISH is proposed in controlling a classifier-based dot counting system.

Type: Article
Title: GELFISH - Graphical environment for labelling fluorescence in-situ hybridization images
Keywords: classification, fluorescence in situ hybridization (FISH), graphical user interface (GUI), image labelling, signal (dot) counting, FISH
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Inst for Women's Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Inst for Women's Health > Reproductive Health
URI: http://discovery.ucl.ac.uk/id/eprint/1329645
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item