Deconvolving active contours for fluorescence microscopy images
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
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
Original language | English |
---|---|
Title of host publication | Advances in Visual Computing - 5th International Symposium, ISVC 2009, Proceedings |
Pages | 544-553 |
Number of pages | 10 |
Edition | PART 1 |
Publication status | Published - 2009 |
Peer-reviewed | Yes |
Externally published | Yes |
Publication series
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Number | PART 1 |
Volume | 5875 LNCS |
ISSN | 0302-9743 |
Conference
Title | 5th International Symposium on Advances in Visual Computing, ISVC 2009 |
---|---|
Duration | 30 November - 2 December 2009 |
City | Las Vegas, NV |
Country | United States of America |
External IDs
ORCID | /0000-0003-4414-4340/work/159608330 |
---|