Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Ruoyang Yao"'
Publikováno v:
Light: Science & Applications, Vol 8, Iss 1, Pp 1-7 (2019)
Light, Science & Applications
Light, Science & Applications
Macroscopic fluorescence lifetime imaging (MFLI) via compressed sensed (CS) measurements enables efficient and accurate quantification of molecular interactions in vivo over a large field of view (FOV). However, the current data-processing workflow i
Publikováno v:
Biochem Biophys Res Commun
Mesoscopic fluorescent molecular tomography (MFMT) enables to image fluorescent molecular probes beyond the typical depth limits of microscopic imaging and with enhanced resolution compared to macroscopic imaging. However, MFMT is a scattering-based
Acquiring dense high-dimensional optical data in biological applications remains a challenge due to the very low levels of light typically encountered. Single pixel imaging methodologies enable improved detection efficiency in such conditions but are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89167a9e4a5ad30818f267478eed333e
https://doi.org/10.1101/2020.01.06.896092
https://doi.org/10.1101/2020.01.06.896092
Publikováno v:
Nature Photonics. 11:411-414
Spectrally resolved fluorescence lifetime imaging1–3 and spatial multiplexing1,4,5 have offered information content and collection-efficiency boosts in microscopy, but efficient implementations for macroscopic applications are still lacking. An ima
Publikováno v:
Biomedical optics express. 10(11)
Tissue engineering applications demand 3D, non-invasive, and longitudinal assessment of bioprinted constructs. Current emphasis is on developing tissue constructs mimicking in vivo conditions; however, these are increasingly challenging to image as t
Publikováno v:
Optical Tomography and Spectroscopy of Tissue XIII.
With the rapid development of spatial light modulators, structured light strategies have been readily implemented for efficient diffuse optical tomography (DOT) and fluorescent molecular tomography (FMT) applications. Compared to traditional pencil-b
Autor:
Xavier Intes, Pingkun Yan, Jason T. Smith, Nattawut Sinsuebphon, Margarida Barroso, Alena Rudkouskaya, Sez-Jade Chen, Ruoyang Yao
Publikováno v:
Multimodal Biomedical Imaging XIV.
Fluorescence lifetime imaging (FLI) has become an invaluable tool in the biomedical field by providing unique, quantitative information about biochemical events and interactions taking place within specimens of interest. Applications of FLI range fro
Autor:
Jason T. Smith, Alena Rudkouskaya, Ruoyang Yao, Margarida Barroso, Joseph E. Mazurkiewicz, Pingkun Yan, Nattawut Sinsuebphon, Xavier Intes
Fluorescence lifetime imaging (FLI) provides unique quantitative information in biomedical and molecular biology studies, but relies on complex data fitting techniques to derive the quantities of interest. Herein, we propose a novel fit-free approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40884b81c6e7a13706398c65af0b75db
https://doi.org/10.1101/523928
https://doi.org/10.1101/523928
Autor:
Pingkun Yan, Xavier Intes, Nattawut Sinsuebphon, Ruoyang Yao, Jason T. Smith, Alena Rudkouskaya, Nathan Un, Joseph E. Mazurkiewicz, Margarida Barroso
Publikováno v:
Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP).
Herein, we present a novel workflow based on Deep Learning (DL) trained on synthetic data to quantify fluorescence lifetime imaging of experimental data across multiple microscopic and macroscopic applications with unprecedented accuracy and computat
Publikováno v:
Biophotonics Congress: Optics in the Life Sciences Congress 2019 (BODA,BRAIN,NTM,OMA,OMP).
We report on Net-FLICS, a deep-learning framework that enables inverse solver free image formation in Hyperspectral Single Pixel Lifetime Imaging at faster acquisition and processing times than conventional methods.