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:
Aug. 23, 2022

Filed:

Jan. 24, 2019
Applicants:

Fondazione Istituto Italiano Di Tecnologia, Genoa, IT;

Politecnico Di Milano, Milan, IT;

Universita' Degli Studi Digenova, Genoa, IT;

Inventors:

Giuseppe Vicidomini, Genoa, IT;

Marco Castello, Genoa, IT;

Giorgio Tortarolo, Genoa, IT;

Alberto Tosi, Paruzzaro, IT;

Mauro Buttafava, Sarmato, IT;

Federica Villa, Milan, IT;

Paolo Bianchini, Genoa, IT;

Alberto Diaspro, Genoa, IT;

Colin J. R. Sheppard, Wollongong, AU;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G02B 21/06 (2006.01); G02B 21/00 (2006.01); G02B 27/58 (2006.01);
U.S. Cl.
CPC ...
G02B 21/008 (2013.01); G02B 21/0028 (2013.01); G02B 21/0036 (2013.01); G02B 27/58 (2013.01);
Abstract

A method for operating a point laser-scanning microscope includes scanning a sample with a focused illumination laser beam; recording a plurality of images by detecting elements being configurable to an intensity mode, in which the recorded images are intensity images g(n) related to photons collected during an entire dwell time of the illumination beam on an individual position n, or to a time-resolved mode, in which the recorded images are time-resolved images g(n, t), the collected photons being discriminated based on their arrival times to individual detecting elements; calculating a fingerprint image a by summing the plurality of intensity images g(n) over all positions n; estimating shift matrices sand sfrom the intensity images g(n); reconstructing at least one of a time-resolved object function fand an intensity object function f; and visualizing at least one of a high-resolution time-resolved image fand a high-resolution intensity image f.


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