@inproceedings{838af89d3a154becb0c905251177bcf9,
title = "Towards an image analysis toolbox for high-throughput Drosophila embryo RNAi screens",
abstract = "We build an image analysis toolbox for high-throughput Drosophila embryo RNAi screens. The goal is to tag the embryo as normal, developmentally delayed or abnormal based on the ventral furrow formation. We break the problem into two parts: in the first, we detect the developmental stage based on the progress of the ventral furrow formation, and in the second, we tag the embryo as normal/developmentally delayed/abnormal based on the stage detected and the elapsed time. The crux of the algorithm is the multiresolution classifier, and we show that, by classifying in multiresolution spaces, we obtain better results than by classifying the embryo image alone. The final 2D accuracy obtained was 93.17%, while by using 3D information, it increased to 98.35%.",
keywords = "Classification, Drosophila, High-throughput, Multiresolution, Screening",
author = "Kellogg, {Ryan A.} and Amina Chebira and Anupam Goyal and Cuadra, {Philip A.} and Zappe, {Stefan F.} and Minden, {Jonathan S.} and Jelena Kova{\v c}evi{\'c}",
note = "Copyright: Copyright 2011 Elsevier B.V., All rights reserved.; 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 ; Conference date: 12-04-2007 Through 15-04-2007",
year = "2007",
doi = "10.1109/ISBI.2007.356845",
language = "English (US)",
isbn = "1424406722",
series = "2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings",
pages = "288--291",
booktitle = "2007 4th IEEE International Symposium on Biomedical Imaging",
}