Pinpointing single molecule positions with in situ point spread function retrieval for three dimensional nanoscopy of whole cells and tissues

    公开(公告)号:US12210167B2

    公开(公告)日:2025-01-28

    申请号:US18636195

    申请日:2024-04-15

    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-PSF, initializing template PSFs from a pupil function, determining a statistical measure of a predetermined function between the sub- and template PSFs, associating each of the sub-PSFs with a template PSF, aligning and averaging the sub-PSF, 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-PSF to thereby generate lateral and axial locations of molecules.

    PINPOINTING SINGLE MOLECULE POSITIONS WITH IN SITU POINT SPREAD FUNCTION RETRIEVAL FOR THREE DIMENSIONAL NANOSCOPY OF WHOLE CELLS AND TISSUES

    公开(公告)号:US20220283443A1

    公开(公告)日:2022-09-08

    申请号:US17628140

    申请日:2020-08-06

    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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