Track papers across labs, topics, and trends.
Search papers, labs, and topics across Lattice.
This paper presents a low-cost fluorescence detection platform using a smartphone camera to detect microorganisms and molecules in diluted samples within a 96-well plate setup. The system correlates the RGB color space of the smartphone image with the molar concentration of the fluorescent specimen, effectively replacing expensive components like excitation filters and photomultipliers found in conventional microplate readers. The study validates the smartphone-based platform by comparing its performance to a Perkin Elmer Victor Machine.
Ditch the expensive lab equipment: a smartphone camera can accurately detect fluorescence in samples, offering a low-cost alternative to traditional microplate readers.
A low cost fluorescence-based optical system is developed for detecting the presence of certain microorganisms and molecules within a diluted sample. A specifically designed device setup compatible with conventional 96 well plates is chosen to create an ideal environment in which a smart phone camera can be used as the optical detector. In comparison with conventional microplate reading machines such as Perkin Elmer Victor Machine, the device presented in this paper is not equipped with expensive elements such as exciter filer, barrier filter and photomultiplier; instead, a phone camera is all needed to detect fluorescence within the sample. The strategy being involved is to determine the relationship between the image color of the sample in RGB color space and the molar concentration of the fluorescence specimen in that sample. This manuscript is a preprint version of work related to a publication in IEEE. The final version may differ from this manuscript.