Title :
Unmixing of spectrally similar quantum dots using filter selection
Author :
Hubbard, E.N. ; Stokes, T.H. ; Kairdolf, Brad A. ; Tran, Jimmy ; Wang, May Dongmei
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
This paper explores the possibilities for quantitative analysis of multiplexed Quantum Dot Immunohistochemical (QDIHC) staining using a 10-slot fluorescence microscope filter wheel. QDs are an ideal fluorophore for staining biomarkers due to their unique properties, including greater photostability and relatively narrower emission bandwidths compared to organic dyes. We imaged a slide containing 5 pure QD spots and 6 QD mixtures with a customized scanning fluorescence microscope. The QD mixtures contained either two or three QDs in equal amounts. Ten filter cubes were used to gather emission signal and then fast non-negative least squares regression (FNNLS) performed the unmixing process by assigning components of the 10-channel raw data to one of the five QDs used. the average error in the unmixing process was measured to be 7.60% when all filters were used and 7.80% when only 6 filters were used.
Keywords :
biomedical optical imaging; dyes; filtering theory; fluorescence; least squares approximations; medical signal processing; optical microscopy; quantum dots; regression analysis; 10-channel raw data; 10-slot fluorescence microscope filter wheel; FNNLS; QD mixture; QDIHC; biomarker staining; customized scanning fluorescence microscope; emission signal; fast nonnegative least squares regression; filter selection; ideal fluorophore; multiplexed Quantum Dot Immunohistochemical staining; narrow emission bandwidth; organic dyes; photostability; pure QD spot; quantitative analysis; unmixing process; Band-pass filters; Biomarkers; Fluorescence; Microscopy; Multiplexing; Quantum dots;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
DOI :
10.1109/EMBC.2013.6610174