US 11,721,018 B2
System and method for calculating focus variation for a digital microscope
Noam Yorav-Raphael, Jerusalem (IL); Uri Wolfovitz, Haifa (IL); and Joseph Joel Pollak, Neve Daniel (IL)
Assigned to S.D. Sight Diagnostics Ltd., Jerusalem (IL)
Filed by S.D. Sight Diagnostics Ltd., Tel Aviv (IL)
Filed on Jun. 29, 2021, as Appl. No. 17/362,009.
Application 17/362,009 is a continuation of application No. 16/592,335, filed on Oct. 3, 2019, granted, now 11,100,637.
Application 16/592,335 is a continuation of application No. 15/506,997, granted, now 10,482,595, issued on Nov. 19, 2019, previously published as PCT/IL2015/050864, filed on Aug. 27, 2015.
Claims priority of provisional application 62/042,388, filed on Aug. 27, 2014.
Prior Publication US 2021/0327064 A1, Oct. 21, 2021
Int. Cl. G06K 9/00 (2022.01); G06T 7/00 (2017.01); G02B 21/24 (2006.01); G06T 7/90 (2017.01)
CPC G06T 7/0012 (2013.01) [G02B 21/244 (2013.01); G06T 7/0002 (2013.01); G06T 7/90 (2017.01); G06T 2207/10056 (2013.01); G06T 2207/10061 (2013.01); G06T 2207/30072 (2013.01); G06T 2207/30168 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method for use with a digital microscope unit that includes a digital microscope, comprising:
receiving a biological cell sample that is disposed within a sample carrier, into the digital microscope unit;
determining that there is a variation in the focal depth of the biological sample with respect to the microscope due to curvature in the sample carrier and/or due to tolerance in setup of the microscope;
capturing at least one image of the biological cell sample disposed within the sample carrier;
determining a characteristic of the biological cell sample by analyzing the at least one captured image by detecting an entity within the sample using a classification algorithm,
the analyzing of the at least one captured image comprising, in response to determining that there is the variation in the focal depth of the biological sample with respect to the microscope, accounting for the variation in the focal depth of the biological sample with respect to the microscope by generating a classification confidence score associated with the detected entity.