KOPS - The Institutional Repository of the University of Konstanz

Fast PCA for processing Calcium-imaging data from the brain of Drosophila melanogaster

Fast PCA for processing Calcium-imaging data from the brain of Drosophila melanogaster

Type of Publication: Contribution to a conference
URI (citable link): http://nbn-resolving.de/urn:nbn:de:bsz:352-177364
Author: Strauch, Martin; Galizia, Giovanni
Year of publication: 2011
Conference: The ACM fifth international workshop on Data and text mining in biomedical informatics - DTMBIO '11, Oct 24, 2011 - Oct 24, 2011, Glasgow, Scotland, UK
Published in: Proceedings of the ACM fifth international workshop on Data and text mining in biomedical informatics - DTMBIO '11. - New York, New York, USA : ACM Press, 2011. - pp. 3-10. - ISBN 978-1-4503-0960-8
DOI (citable link): https://dx.doi.org/10.1145/2064696.2064700
Summary:
The calcium-imaging technique allows us to record movies of brain activity in the antennal lobe of the fruitfly Drosophila melanogaster, a brain compartment where information about odors is processed. For signal processing that scales up with the growing data sizes in imaging, we have developed an approximate Principal Component Analysis (PCA) for fast dimensionality reduction. The approach relies on selecting a set of relevant pixels from the movies based on a priori knowledge about the nature of the data, ensuring a highquality approximation. Once in PCA space, we can efficiently perform source separation, e.g to detect biological signals in the movies and to remove artifacts.
Subject (DDC): 570 Biosciences, Biology
Keywords: Biological image mining, approximate PCA, Monte Carlo algorithm, source separation
Link to License: Terms of use
Bibliography of Konstanz: Yes

Cite This

Files in this item

[PDF]
Name: Galizia.pdf
Size: 3.958Mb
Format: PDF
View/Open
Checksum: MD5:2e7545a9689e3324ad601f0524ec75c5

STRAUCH, Martin, Giovanni GALIZIA, 2011. Fast PCA for processing Calcium-imaging data from the brain of Drosophila melanogaster. The ACM fifth international workshop on Data and text mining in biomedical informatics - DTMBIO '11. Glasgow, Scotland, UK, Oct 24, 2011 - Oct 24, 2011. In: Proceedings of the ACM fifth international workshop on Data and text mining in biomedical informatics - DTMBIO '11. New York, New York, USA:ACM Press, pp. 3-10. ISBN 978-1-4503-0960-8. Available under: doi: 10.1145/2064696.2064700

@inproceedings{Strauch2011proce-17736, title={Fast PCA for processing Calcium-imaging data from the brain of Drosophila melanogaster}, year={2011}, doi={10.1145/2064696.2064700}, isbn={978-1-4503-0960-8}, address={New York, New York, USA}, publisher={ACM Press}, booktitle={Proceedings of the ACM fifth international workshop on Data and text mining in biomedical informatics - DTMBIO '11}, pages={3--10}, author={Strauch, Martin and Galizia, Giovanni} }

Strauch, Martin eng 2011 First publ. in: Proceedings of the 2011 ACM International Conference on Information and Knowledge Management & co-located workshops ;... DTMBIO '11... ; October 24 - 28, 2011, Glasgow, Scotland, UK / sponsored by : ACM SIGIR & ACM SIGWEB. - New York, NY : ACM, 2011. - pp. 3-10. - ISBN 978-1-4503-0960-8 terms-of-use 2012-02-02T14:16:46Z Galizia, Giovanni 2012-09-30T22:25:05Z Strauch, Martin Galizia, Giovanni The calcium-imaging technique allows us to record movies of brain activity in the antennal lobe of the fruitfly Drosophila melanogaster, a brain compartment where information about odors is processed. For signal processing that scales up with the growing data sizes in imaging, we have developed an approximate Principal Component Analysis (PCA) for fast dimensionality reduction. The approach relies on selecting a set of relevant pixels from the movies based on a priori knowledge about the nature of the data, ensuring a highquality approximation. Once in PCA space, we can efficiently perform source separation, e.g to detect biological signals in the movies and to remove artifacts. Fast PCA for processing Calcium-imaging data from the brain of Drosophila melanogaster

Downloads since Oct 1, 2014 (Information about access statistics)

Galizia.pdf 82

This item appears in the following Collection(s)

Search KOPS


Browse

My Account