METHOD AND APPARATUS CONFIGURED TO COUNT N-PHOTON EVENTS

    公开(公告)号:US20230175886A1

    公开(公告)日:2023-06-08

    申请号:US17920054

    申请日:2021-04-23

    Abstract: An apparatus is configured to count N-photon events within a time-dependent sequence of events of interactions of a plurality of photons with a light sensitive detector. The apparatus includes a signal-processing device and the light sensitive detector. An N-photon event represents an occurrence of at least N timely overlapping single photon events. The light sensitive detector is adapted to generate a time-dependent digital signal comprising digital patterns representing the time-dependent sequence of events from the detection of the plurality of photons with the light sensitive detector. Each digital pattern in the digital signal comprises a digital pattern width having a continuous sequence of digital values representing at least one event of interaction of at least one photon with the light sensitive detector. The signal-processing device is adapted to identify N-photon events from the digital patterns in the digital signal in dependence from the respective digital pattern width.

    STED microscopy method with improved signal to noise ratio in low photon count imaging conditions

    公开(公告)号:US12243194B2

    公开(公告)日:2025-03-04

    申请号:US17636035

    申请日:2020-10-08

    Abstract: The present invention relates to a method for generating a result image. The method comprises the steps of: acquiring a STED image of a sample, the STED image comprising pixels; calculating Fourier coefficients of arrival times for the pixels of the image, resulting in real coefficients representing a first image and in imaginary coefficients representing a second image; deriving an intensity image from the STED image; applying a spatial filter to the first image, the second image and the intensity image, resulting in a filtered first image, a filtered second image, and filtered intensity image, respectively; calculating an image G based on the filtered first image and the filtered intensity image; calculating an image S based on the filtered second image and the filtered intensity image; and calculating a result image based on the image G and the image S.

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