The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 16, 2024

Filed:

Aug. 06, 2020
Applicant:

Purdue Research Foundation, West Lafayette, IN (US);

Inventors:

Fan Xu, West Lafayette, IN (US);

Fang Huang, West Lafayette, IN (US);

Donghan Ma, West Lafayette, IN (US);

Assignee:

Purdue Research Foundation, West Lafayette, IN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G01N 21/64 (2006.01); G02B 21/36 (2006.01); G02B 26/08 (2006.01); G02B 27/00 (2006.01); G02B 27/58 (2006.01);
U.S. Cl.
CPC ...
G02B 27/58 (2013.01); G01N 21/6458 (2013.01); G02B 21/367 (2013.01); G02B 26/0825 (2013.01); G02B 27/0068 (2013.01); G06T 2207/10056 (2013.01);
Abstract

A method of in situ point spread function (PSF) retrieval is disclosed which includes encoding 3D location of molecules into PSFs, receiving molecule-generated images containing PSFs, segmenting the images into sub-PSFs, initializing template PSFs from a pupil function, determining a maximum normalized cross correlation (NCC) coefficient (NCCmax) between the sub- and template PSFs, associating each of the sub-PSFs with a template PSF based on the NCCmax and storing the sub-PSFs in associated bins, aligning and averaging the binned sub-PSFs, applying a phase retrieval algorithm to the averaged sub-PSFs to update the pupil function, regenerating the template PSFs, repeating until a difference between a new and a prior generation pupil function is below a predetermined threshold, generating in situ PSFs from the last pupil function, and applying a maximum likelihood estimation algorithm based on the in situ PSFs and the sub-PSFs to thereby generate lateral and axial locations of molecules.


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