FIMTrack
FIMTrack performs tracking and quantitative locomotion analysis of small animals such as Drosophila larvae and C. elegans from high-contrast FIM imaging.
Key Features:
- High-Contrast Imaging Integration: Integrates with the FIM imaging system to operate on high-contrast images for accurate detection and tracking.
- Versatile Tracking Strategies: Implements multiple tracking strategies tailored to different model organisms, locomotion types, and camera properties.
- Stimuli-Based Analysis: Supports analysis of behavioral responses to external stimuli within recorded experiments.
- Manual Tracking and Correction: Provides facilities for manual adjustment and correction of automated tracking results to improve accuracy.
Scientific Applications:
- Developmental Biology: Quantifies locomotion phenotypes to study developmental processes in model organisms.
- Neurobiology: Analyzes movement patterns to investigate neural control of behavior.
- Behavioral Ecology: Measures locomotor behavior for studies of ecological and ethological questions.
- Stimulus-Response Assays: Assesses behavioral changes in response to environmental or experimental stimuli.
Methodology:
FIMTrack employs advanced tracking and analysis algorithms explicitly developed to handle varying locomotion types and imaging conditions.
Topics
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- workflow
- Operating Systems:
- Linux, Mac
- Programming Languages:
- C++
- Added:
- 6/26/2018
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Format detection
Publications
Risse B, Berh D, Otto N, Klämbt C, Jiang X. FIMTrack: An open source tracking and locomotion analysis software for small animals. PLOS Computational Biology. 2017;13(5):e1005530. doi:10.1371/journal.pcbi.1005530. PMID:28493862. PMCID:PMC5444858.
Documentation
Downloads
- Software packagehttps://www.uni-muenster.de/PRIA/en/FIM/download.shtml
- Source codehttps://github.com/i-git/FIMTrack