Assessing patterns for compressive fluorescence lifetime imaging.

A novel hyperspectral single pixel system was used to compare different compressive basis patterns for intensity imaging, lifetime imaging, and FRET quantification. Six popular basis patterns were compared experimentally in a phantom containing two fluorescent dyes. The basis patterns that performed best for lifetime quantification were used to measure FRET occurrence in well-plate samples with varying acceptor-donor ratios. The ABS-WP approach using Haar patterns and the compressive sensing approach with Hadamard Ranked patterns displayed the best overall performances at a 50% compression ratio.

[1]  Ting Sun,et al.  Single-pixel imaging via compressive sampling , 2008, IEEE Signal Process. Mag..

[2]  Xavier Intes,et al.  Reduced temporal sampling effect on accuracy of time-domain fluorescence lifetime Förster resonance energy transfer. , 2014, Journal of biomedical optics.

[3]  Xavier Intes,et al.  Non-Invasive In Vivo Imaging of Near Infrared-labeled Transferrin in Breast Cancer Cells and Tumors Using Fluorescence Lifetime FRET , 2013, PloS one.

[4]  Horst Wallrabe,et al.  Imaging protein molecules using FRET and FLIM microscopy. , 2005, Current opinion in biotechnology.

[5]  Zibang Zhang,et al.  Hadamard single-pixel imaging versus Fourier single-pixel imaging. , 2017, Optics express.

[6]  Andrea Farina,et al.  Time-resolved multispectral imaging based on an adaptive single-pixel camera. , 2018, Optics express.

[7]  P. Bastiaens,et al.  Fluorescence lifetime imaging microscopy: spatial resolution of biochemical processes in the cell. , 1999, Trends in cell biology.

[8]  Jianwei Ma,et al.  Single-Pixel Remote Sensing , 2009, IEEE Geoscience and Remote Sensing Letters.

[9]  Xavier Intes,et al.  FLIM-FRET for Cancer Applications. , 2015, Current molecular imaging.

[10]  Shaowei Jiang,et al.  Multilayer fluorescence imaging on a single-pixel detector. , 2016, Biomedical optics express.

[11]  Xavier Intes,et al.  Development of an optical imaging platform for functional imaging of small animals using wide-field excitation , 2010, Biomedical optics express.

[12]  Xavier Intes,et al.  Hyperspectral time-resolved wide-field fluorescence molecular tomography based on structured light and single-pixel detection. , 2015, Optics letters.

[13]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[14]  Traian Dogaru,et al.  Multiresolution time-domain algorithm using CDF biorthogonal wavelets , 2001 .

[15]  W. Becker Fluorescence lifetime imaging – techniques and applications , 2012, Journal of microscopy.

[16]  Xavier Intes,et al.  Compressive hyperspectral time-resolved wide-field fluorescence lifetime imaging. , 2017, Nature photonics.

[17]  J. Sylvester LX. Thoughts on inverse orthogonal matrices, simultaneous signsuccessions, and tessellated pavements in two or more colours, with applications to Newton's rule, ornamental tile-work, and the theory of numbers , 1867 .

[18]  S. Achilefu,et al.  Fluorescence lifetime measurements and biological imaging. , 2010, Chemical reviews.

[19]  Igor L. Medintz,et al.  Intracellular FRET-based probes: a review , 2015, Methods and applications in fluorescence.

[20]  Junle Qu,et al.  Applications of fluorescence lifetime imaging in clinical medicine , 2018 .

[21]  Graham M. Gibson,et al.  Simultaneous real-time visible and infrared video with single-pixel detectors , 2015, Scientific Reports.

[22]  Andrea Farina,et al.  Adaptive Basis Scan by Wavelet Prediction for Single-Pixel Imaging , 2017, IEEE Transactions on Computational Imaging.

[23]  Junle Qu,et al.  Fluorescence lifetime imaging of fluorescent proteins as an effective quantitative tool for noninvasive study of intracellular processes , 2018 .

[24]  A. Visser,et al.  Fluorescence lifetime imaging microscopy in life sciences , 2010 .