Journal
BIOPHYSICAL JOURNAL
Volume 92, Issue 8, Pages 2953-2963Publisher
BIOPHYSICAL SOCIETY
DOI: 10.1529/biophysj.106.097253
Keywords
-
Categories
Funding
- NIGMS NIH HHS [GM64624, R01 GM070676, R01 GM064624, GM070676] Funding Source: Medline
Ask authors/readers for more resources
Noise is a major problem in analyzing tracking data of cargos moved by molecular motors. We use Bayesian statistics to incorporate what is known about the noise in parsing the trajectory of a cargo into a series of constant velocity segments. Tracks with just noise and no underlying motion are fit with constant velocity segments to produce a calibration curve of fit quality versus average segment duration. Fits to tracks of moving cargos are compared to the calibration curves with similar noise. The fit with the optimum number of constant velocity states has the least number of segments needed to match the fit quality of the calibration curve. We have tested this approach using tracks with known underlying motion generated by computer simulations and with a specially designed in vitro experiment. We present the results of using this parsing approach to analyze transport of lipid droplets in Drosophila embryos.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available