US 12,216,055 B2
Microscope image capturing methods
Adam Ezra Cohen, Cambridge, MA (US); and Vicente Jose Parot, Cambridge, MA (US)
Assigned to President and Fellows of Harvard College, Cambridge, MA (US)
Filed by President and Fellows of Harvard College, Cambridge, MA (US)
Filed on Jan. 4, 2022, as Appl. No. 17/568,608.
Application 17/568,608 is a continuation of application No. 16/480,953, granted, now 11,237,109, previously published as PCT/US2018/015517, filed on Jan. 26, 2018.
Claims priority of provisional application 62/450,809, filed on Jan. 26, 2017.
Prior Publication US 2022/0205919 A1, Jun. 30, 2022
Int. Cl. G01N 21/64 (2006.01); G02B 21/06 (2006.01); G02B 21/16 (2006.01); G02B 21/36 (2006.01); G06T 7/00 (2017.01); G06T 7/521 (2017.01); G06T 7/80 (2017.01)
CPC G01N 21/6458 (2013.01) [G02B 21/06 (2013.01); G02B 21/16 (2013.01); G02B 21/365 (2013.01); G06T 7/521 (2017.01); G06T 7/80 (2017.01); G06T 7/97 (2017.01); G01N 2201/0675 (2013.01); G01N 2201/127 (2013.01); G06T 2207/10056 (2013.01)] 6 Claims
OG exemplary drawing
 
1. A method, comprising:
illuminating, in a microscope, a sample with a sequence of two-dimensional spatial patterns using light of a first wavelength, wherein each two-dimensional spatial pattern of the sequence of two-dimensional spatial patterns is near orthogonal to the other two-dimensional spatial patterns of the sequence of two-dimensional spatial patterns, wherein a first two-dimensional spatial pattern is near orthogonal to a second two-dimensional spatial pattern if a correlation coefficient between the first two-dimensional spatial pattern and the second two-dimensional spatial pattern is less than or equal to 0.25;
capturing image data based on light of a second wavelength emitted by the sample in response to being illuminated by the light of the first wavelength, the image data comprising a plurality of frames, wherein each frame of the plurality of frames is associated with a respective two-dimensional spatial pattern of the sequence of two-dimensional spatial patterns; and
analyzing, using at least one processor, orthogonal components of each frame of the image data.