BINGO: a blind unmixing algorithm for ultra-multiplexing fluorescence images.

ABSTRACT:

Motivation

Spectral imaging is often used to observe different objects with multiple fluorescent labels to reveal the development of the biological event. As the number of observed objects increases, the spectral overlap between fluorophores becomes more serious, and obtaining a "pure" picture of each fluorophore becomes a major challenge. Here, we propose a blind spectral unmixing algorithm called BINGO (Blind unmixing via SVD-based Initialization Nmf with project Gradient descent and spare cOnstrain), which can extract all kinds of fluorophores more accurately from highly overlapping multichannel data, even if the spectra of the fluorophores are extremely similar or their fluorescence intensity varies greatly.

Results

BINGO can isolate up to 10 fluorophores from spectral i

SUBMITTER: Huang X 

PROVIDER: S-EPMC10873573 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature