Deconvolving active contours for fluorescence microscopy images
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
We extend active contours to constrained iterative deconvolution by replacing the external energy function with a model-based likelihood. This enables sub-pixel estimation of the outlines of diffraction-limited objects, such as intracellular structures, from fluorescence micrographs. We present an efficient algorithm for solving the resulting optimization problem and robustly estimate object outlines. We benchmark the algorithm on artificial images and assess its practical utility on fluorescence micrographs of the Golgi and endosomes in live cells.
Details
Originalsprache | Englisch |
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Titel | Advances in Visual Computing - 5th International Symposium, ISVC 2009, Proceedings |
Seiten | 544-553 |
Seitenumfang | 10 |
Auflage | PART 1 |
Publikationsstatus | Veröffentlicht - 2009 |
Peer-Review-Status | Ja |
Extern publiziert | Ja |
Publikationsreihe
Reihe | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Nummer | PART 1 |
Band | 5875 LNCS |
ISSN | 0302-9743 |
Konferenz
Titel | 5th International Symposium on Advances in Visual Computing, ISVC 2009 |
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Dauer | 30 November - 2 Dezember 2009 |
Stadt | Las Vegas, NV |
Land | USA/Vereinigte Staaten |
Externe IDs
ORCID | /0000-0003-4414-4340/work/159608330 |
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