Invention Grant
- Patent Title: Deep learning model for noise reduction in low SNR imaging conditions
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Application No.: US17444499Application Date: 2021-08-05
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Publication No.: US12008737B2Publication Date: 2024-06-11
- Inventor: Denis Sharoukhov , Tonislav Ivanov , Jonathan Lee
- Applicant: Nanotronics Imaging, Inc.
- Applicant Address: US OH Cuyahoga Falls
- Assignee: Nanotronics Imaging, Inc.
- Current Assignee: Nanotronics Imaging, Inc.
- Current Assignee Address: US OH Cuyahoga Falls
- Agency: DLA PIPER LLP (US)
- Main IPC: G06T5/70
- IPC: G06T5/70 ; G06T3/4046 ; G06T5/50

Abstract:
Embodiments disclosed herein are generally related to a system for noise reduction in low signal to noise ratio imaging conditions. A computing system obtains a set of images of a specimen. The set of images includes at least two images of the specimen. The computing system inputs the set of images of the specimen into a trained denoising model. The trained denoising model is configured to output a single denoised image of the specimen. The computing system receives, as output from the trained denoising model, a single denoised image of the specimen.
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