Details
| Original language | English |
|---|---|
| Title of host publication | 2009 Workshop on Motion and Video Computing, WMVC '09 |
| Publication status | Published - 2009 |
| Event | 2009 Workshop on Motion and Video Computing, WMVC '09 - Snowbird, UT, United States Duration: 8 Dec 2009 → 9 Dec 2009 |
Publication series
| Name | 2009 Workshop on Motion and Video Computing, WMVC '09 |
|---|
Abstract
Digital in-line holography is a microscopy technique which has gotten an increasing amount of attention over the last few years in the fields of microbiology, medicine and physics, as it provides an efficient way of measuring 3D microscopic data over time. In this paper we approach the challenges of a high throughput analysis of holographic microscopy data and present a system for detecting particles in 3D reconstructed holograms and their 3D trajectory estimation over time. Our main contribution is a robust method which evolves from the Hungarian bipartite weighted graph matching algorithm and allows us to deal with newly entering and leaving particles and compensate for missing data and outliers. In the experiments we compare our fully automatic system with manually labeled ground truth data and we can report an accuracy between 76% and 91%.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Software
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2009 Workshop on Motion and Video Computing, WMVC '09. 2009. 5399244 (2009 Workshop on Motion and Video Computing, WMVC '09).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Automatic tracking of swimming microorganisms in 4D digital in-line holography data
AU - Leal Taixé, Laura
AU - Heydt, Matthias
AU - Rosenhahn, Axel
AU - Rosenhahn, Bodo
PY - 2009
Y1 - 2009
N2 - Digital in-line holography is a microscopy technique which has gotten an increasing amount of attention over the last few years in the fields of microbiology, medicine and physics, as it provides an efficient way of measuring 3D microscopic data over time. In this paper we approach the challenges of a high throughput analysis of holographic microscopy data and present a system for detecting particles in 3D reconstructed holograms and their 3D trajectory estimation over time. Our main contribution is a robust method which evolves from the Hungarian bipartite weighted graph matching algorithm and allows us to deal with newly entering and leaving particles and compensate for missing data and outliers. In the experiments we compare our fully automatic system with manually labeled ground truth data and we can report an accuracy between 76% and 91%.
AB - Digital in-line holography is a microscopy technique which has gotten an increasing amount of attention over the last few years in the fields of microbiology, medicine and physics, as it provides an efficient way of measuring 3D microscopic data over time. In this paper we approach the challenges of a high throughput analysis of holographic microscopy data and present a system for detecting particles in 3D reconstructed holograms and their 3D trajectory estimation over time. Our main contribution is a robust method which evolves from the Hungarian bipartite weighted graph matching algorithm and allows us to deal with newly entering and leaving particles and compensate for missing data and outliers. In the experiments we compare our fully automatic system with manually labeled ground truth data and we can report an accuracy between 76% and 91%.
UR - http://www.scopus.com/inward/record.url?scp=77949864233&partnerID=8YFLogxK
U2 - 10.1109/WMVC.2009.5399244
DO - 10.1109/WMVC.2009.5399244
M3 - Conference contribution
AN - SCOPUS:77949864233
SN - 9781424455003
T3 - 2009 Workshop on Motion and Video Computing, WMVC '09
BT - 2009 Workshop on Motion and Video Computing, WMVC '09
T2 - 2009 Workshop on Motion and Video Computing, WMVC '09
Y2 - 8 December 2009 through 9 December 2009
ER -