Spectracular
Spectracular optimizes fluorochrome selection for multicolor flow cytometry panels to minimize spectral overlap and improve signal separation.
Key Features:
- Fluorochrome selection: Identifies optimal or near-optimal sets of fluorochromes from a user-defined pool for multicolor flow cytometry panels.
- Complexity optimization algorithm: Employs a novel complexity optimization algorithm specifically developed to rapidly design combinations of fluorochromes.
- Combination evaluation: Programmatically evaluates combinations while circumventing brute-force enumeration to address combinatorial complexity.
- Spectral overlap minimization: Optimizes selected fluorochrome sets to minimize spectral overlap and improve signal separation.
- Instrument laser configuration: Incorporates instrument laser configurations into the optimization process.
- Constraint handling: Accepts user-specified constraints such as antibody-fluorochrome availability and marker co-expression patterns.
Scientific Applications:
- Multicolor flow cytometry panel design: Design and selection of fluorochrome panels for multicolor flow cytometry experiments.
- Improved signal separation: Reduction of spectral overlap to enhance signal separation and data quality in flow cytometry experiments.
- Tailored panel configuration: Generation of panel configurations that account for reagent availability and marker co-expression constraints.
Methodology:
Uses a novel complexity optimization algorithm to programmatically evaluate fluorochrome combinations, avoid brute-force combinatorial enumeration, minimize spectral overlap, and incorporate instrument laser configurations along with user-specified constraints such as antibody-fluorochrome availability and marker co-expression.
Topics
Details
- Tool Type:
- web application
- Added:
- 12/6/2021
- Last Updated:
- 12/6/2021
Operations
Publications
Rønn Olsen L, Benso A, Politano G, Barnkob MB. Minimizing spectral overlap in multicolor flow cytometry experiments. Unknown Journal. 2021. doi:10.1101/2021.03.17.435861.