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Fast and simple spectral FLIM for biochemical and medical imaging.


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Authors

Popleteeva, Marina 
Haas, Kalina T 
Stoppa, David 
Pancheri, Lucio 
Gasparini, Leonardo 

Abstract

Spectrally resolved fluorescence lifetime imaging microscopy (λFLIM) has powerful potential for biochemical and medical imaging applications. However, long acquisition times, low spectral resolution and complexity of λFLIM often narrow its use to specialized laboratories. Therefore, we demonstrate here a simple spectral FLIM based on a solid-state detector array providing in-pixel histrogramming and delivering faster acquisition, larger dynamic range, and higher spectral elements than state-of-the-art λFLIM. We successfully apply this novel microscopy system to biochemical and medical imaging demonstrating that solid-state detectors are a key strategic technology to enable complex assays in biomedical laboratories and the clinic.

Description

Keywords

Computer-Aided Design, Equipment Design, Equipment Failure Analysis, Image Enhancement, Image Interpretation, Computer-Assisted, Lenses, Microscopy, Confocal, Molecular Imaging, Optical Imaging, Reproducibility of Results, Sensitivity and Specificity, Spectrometry, Fluorescence

Journal Title

Opt Express

Conference Name

Journal ISSN

1094-4087
1094-4087

Volume Title

Publisher

The Optical Society
Sponsorship
Wellcome Trust (089703/Z/09/Z)
Medical Research Council (MR/K015850/1)
Engineering and Physical Sciences Research Council (EP/F044011/1)
Medical Research Council (G1001521)
Medical Research Council (MC_UU_12022/1)
Medical Research Council (G1001522)
Engineering and Physical Sciences Research Council (EP/L015889/1)
Wellcome Trust (090340/Z/09/Z)
MRC (MC_UU_12022/8)
A.E. thanks the EPSRC for the initial funding of the project (EP/F044011/1) from 2009 to 2011. M.P. and L.D.C. were supported by a Programme Grant to A.R.V. from the UK Medical Research Council (MRC). This project was also supported by the MRC’s grant-in-aid to the Cancer Unit, Cambridge (A.E., A.R.V.). C.F.K acknowledges funding from the MRC (grant MR/K015850/1), the Wellcome Trust (grant 089703/Z/09/Z) and the EPSRC (EP/L015889/1).