Invention Application
- Patent Title: DEEP LEARNING DRIVEN ADAPTIVE OPTICS FOR SINGLE MOLECULE LOCALIZATION MICROSCOPY
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Application No.: US18678100Application Date: 2024-05-30
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Publication No.: US20240402488A1Publication Date: 2024-12-05
- Inventor: Fang Huang , Peiyi Zhang
- Applicant: Purdue Research Foundation
- Applicant Address: US IN West Lafayette
- Assignee: Purdue Research Foundation
- Current Assignee: Purdue Research Foundation
- Current Assignee Address: US IN West Lafayette
- Main IPC: G02B27/00
- IPC: G02B27/00 ; G01N21/64 ; G02B21/16 ; G02B21/36 ; G02B26/08 ; G06T5/20 ; G06T5/60 ; G06T5/80 ; G06T7/00 ; G06T7/11

Abstract:
The invention generally relates to systems and method for deep learning driven adaptive optics for single molecule localization microscopy. In certain aspects, the invention provides a system comprising: an imaging apparatus configured for conducting single-molecule localization microscopy (SMLM), wherein the imaging apparatus comprises a deformable mirror and a dynamic filter; and a processor operably associated with the imaging apparatus. In certain embodiments, the processor is configured to: monitor individual emission patterns produced via the imaging apparatus from a plurality of different single molecules in a sample; infer shared wavefront distortion for each of the individual emission patterns; provide the shared wavefront distortion for each of the individual emission patterns through the dynamic filter; and operate the deformable mirror to compensate for sample induced aberrations.
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