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公开(公告)号:US20240412338A1
公开(公告)日:2024-12-12
申请号:US18694889
申请日:2022-09-22
Applicant: UNIVERSITY OF SOUTHERN CALIFORNIA
Inventor: Hsiao-Ju CHIANG , Eun Sang KOO , Scott E. FRASER , Francesco CUTRALE
Abstract: Hybrid unmixing technique (HyU) of this disclosure may provide enhanced imaging of multiplexed fluorescence labels, enabling longitudinal imaging of multiple fluorescent signals with reduced illumination intensities. This disclosure generally relates to imaging systems. This disclosure relates to hyperspectral imaging systems. This disclosure further relates to hyperspectral imaging systems that generate an unmixed color image of a target. This disclosure further relates to a hyperspectral imaging system that is configured to use a hybrid unmixing technique to provide enhanced imaging of a target. This disclosure further relates to a hyperspectral imaging system that is configured to use a hybrid unmixing technique to provide enhanced imaging of multiplexed fluorescence labels, enabling longitudinal imaging of multiple fluorescent signals with reduced illumination intensities. This disclosure further relates to hyperspectral imaging systems that are used in diagnosing a health condition.
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公开(公告)号:US20220108430A1
公开(公告)日:2022-04-07
申请号:US17427890
申请日:2020-01-31
Applicant: UNIVERSITY OF SOUTHERN CALIFORNIA
Inventor: Wen SHI , Eun Sang KOO , Scott E. FRASER , Francesco CUTRALE
Abstract: This invention relates to a hyperspectral imaging system for denoising and/or color unmixing multiple overlapping spectra in a low signal-to-noise regime with a fast analysis time. This system may carry out Hyper-Spectral Phasors (HySP) calculations to effectively analyze hyper-spectral time-lapse data. For example, this system may carry out Hyper-Spectral Phasors (HySP) calculations to effectively analyze five-dimensional (5D) hyper-spectral time-lapse data. Advantages of this imaging system may include: (a) fast computational speed, (b) the ease of phasor analysis, and (c) a denoising algorithm to obtain the minimally-acceptable signal-to-noise ratio (SNR). An unmixed color image of a target may be generated. These images may be used in diagnosis of a health condition, which may enhance a patient's clinical outcome and evolution of the patient's health.
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