Year: 2016
Type: article
Abstract: Fluorescence assays are the most common readouts used in droplet microfluidics due to their bright signals and fast time response. Applications such as multiplex assays, enzyme evolution, and molecular biology enhanced cell sorting require the detection of two or more colors of fluorescence. Standard multicolor detection systems that couple free space lasers to epifluorescence microscopes are bulky, expensive, and difficult to maintain. In this paper, we describe a scheme to perform multicolor detection by exciting discrete regions of a microfluidic channel with lasers coupled to optical fibers. Emitted light is collected by an optical fiber coupled to a single photodetector. Because the excitation occurs at different spatial locations, the identity of emitted light can be encoded as a temporal shift, eliminating the need for more complicated light filtering schemes. The system has been used to detect droplet populations containing four unique combinations of dyes and to detect sub-nanomolar concentrations of fluorescein.
DOI: 10.3791/54010
Authors: Russell H. Cole, Zev J. Gartner, Adam R. Abate
Institutions: University of California, San Francisco, QB3
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
Funders: National Science Foundation, National Institutes of Health, Defense Advanced Research Projects Agency, University of California, San Francisco, National Cancer Institute, National Institute of Arthritis and Musculoskeletal and Skin Diseases, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Awards: G2983133168, Total synthesis of the human mammary gland, CAREER: Massively-parallel single-cell genomics and transcriptomics with droplet microfluidics, G549111027, Microfluidic immunoprofiling for biomarker discovery in rheumatoid arthritis, G6671297155, Identifying the intercellular networks regulating estrogen receptor expression with a high definition single cell printer
OpenAlex ID: W2346617579
