BISCAP
BISCAP processes 2D Optical Coherence Tomography (OCT) biofilm images to automatically extract structural parameters and quantify biofilm architecture.
Key Features:
- Automatic Processing: Automates processing of 2D OCT biofilm images to replace custom-script workflows.
- Novel Algorithmic Approaches: Incorporates principles from Confocal Laser Scanning Microscopy (CLSM) image processing and implements a unique thresholding algorithm and substratum detection strategy.
- Detailed Pixel Characterization: Employs two complementary pixel continuity checks for precise per-pixel characterization within biofilm images.
- Comprehensive Output: Produces common structural parameters used in biofilm analysis and a set of processed images for examination and comparison.
- Innovative Biofilm Compaction Parameter: Introduces a novel parameter to quantify biofilm compaction.
Scientific Applications:
- Biofilm structural analysis: Quantifies biofilm architecture and structural parameters from 2D OCT imagery, including compaction metrics.
- Comparative studies: Provides consistent structural metrics to support comparative analyses across different datasets or experimental conditions.
Methodology:
Applies advanced image processing techniques that incorporate CLSM image processing principles, a unique thresholding algorithm, a substratum detection strategy, and two complementary pixel continuity checks.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- desktop application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- MATLAB, Python
- Added:
- 6/9/2022
- Last Updated:
- 6/9/2022
Operations
Publications
Narciso DAC, Pereira A, Dias NO, Melo LF, Martins FG. Characterization of biofilm structure and properties via processing of 2D optical coherence tomography images in BISCAP. Bioinformatics. 2022;38(6):1708-1715. doi:10.1093/bioinformatics/btac002. PMID:34986264.
PMID: 34986264
Funding: - Funding of the Laboratory for Process Engineering, Environment, Biotechnology and Energy—LEPABE—funded by national funds through the FCT/MCTES: Base—UIDB/00511/2020, Programmatic—UIDP/00511/2020