Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Scott S, Howard"'
Publikováno v:
IEEE Sensors Journal. 20:6964-6970
The problem of classifying substances using MIR laser and sensors with low signal-to-noise ratio remains challenging. The existing methods rely largely on using lasers at multiple wavelengths and expensive high quality sensors. We propose and demonst
Publikováno v:
Multiscale Imaging and Spectroscopy III.
Autor:
Scott S. Howard
Publikováno v:
High-Speed Biomedical Imaging and Spectroscopy VII.
Publikováno v:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIX.
Fluorescence microscopy has been a significant tool to observe long-term imaging of embryos (in vivo) growth over time. However, cumulative exposure is phototoxic to such sensitive live samples. While techniques like light-sheet fluorescence microsco
Publikováno v:
Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN).
Autor:
Scott S. Howard, Cody J. Smith, Vignesh Sundaresan, Qingfei Wang, Siyuan Zhang, Yide Zhang, Varun Mannam, Paul W. Bohn, Yinhao Zhu, Evan L. Nichols
Fluorescence microscopy imaging speed is fundamentally limited by the measurement signal-to-noise ratio (SNR). To improve image SNR for a given image acquisition rate, computational denoising techniques can be used to suppress noise. However, common
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bb1cf02e368f0e1aebcc723fdbcbbe5
https://doi.org/10.1101/2021.11.10.468102
https://doi.org/10.1101/2021.11.10.468102
Publikováno v:
Applied optics. 60(27)
The problem of analyzing substances using low-cost sensors with a low signal-to-noise ratio (SNR) remains challenging. Using accurate models for the spectral data is paramount for the success of any classification task. We demonstrate that the therma
Autor:
Scott S. Howard, Evan L. Nichols, Ian H. Guldner, David Benirschke, Siyuan Zhang, Yide Zhang, Cody J. Smith
Traditional fluorescence microscopy is blind to molecular microenvironment information that is present in a fluorescence lifetime, which can be measured by fluorescence lifetime imaging microscopy (FLIM). However, most existing FLIM techniques are sl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c26cbe67f5e3454696f0782bad10ce2b
https://resolver.caltech.edu/CaltechAUTHORS:20200207-102104833
https://resolver.caltech.edu/CaltechAUTHORS:20200207-102104833
Autor:
Takashi Hato, Kenneth W. Dunn, Pierre C. Dagher, Cody J. Smith, Xiaotong Yuan, Yide Zhang, Scott S. Howard, Varun Mannam, Evan L. Nichols
Publikováno v:
Multiphoton Microscopy in the Biomedical Sciences XXI.
Fluorescence lifetime imaging microscopy (FLIM) systems are limited by their slow processing speed, low signal-to-noise ratio (SNR), and expensive and challenging hardware setups. In this work, we demonstrate applying a denoising convolutional networ
Publikováno v:
Single Molecule Spectroscopy and Superresolution Imaging XIV.
We propose and demonstrate the first analytical model of the spatial resolution of frequency-domain (FD) fluorescence lifetime imaging microscopy (FLIM) that explains how it is fundamentally different with the common resolution limit of the conventio