US 12,235,428 B2
Method, computer program product, computer-readable medium and system for scanning partial regions of a sample using a scanning microscope
Daniel Haase, Zoellnitz (DE); and Manuel Amthor, Jena (DE)
Assigned to Carl Zeiss Microscopy GmbH, Jena (DE)
Appl. No. 17/059,343
Filed by Carl Zeiss Microscopy GmbH, Jena (DE)
PCT Filed May 29, 2019, PCT No. PCT/EP2019/064023
§ 371(c)(1), (2) Date Nov. 27, 2020,
PCT Pub. No. WO2019/229151, PCT Pub. Date Dec. 5, 2019.
Claims priority of application No. 10 2018 113 014.7 (DE), filed on May 30, 2018.
Prior Publication US 2021/0239952 A1, Aug. 5, 2021
Int. Cl. G02B 21/00 (2006.01); G02B 21/36 (2006.01); G06N 3/084 (2023.01); H01J 37/22 (2006.01)
CPC G02B 21/008 (2013.01) [G02B 21/367 (2013.01); G06N 3/084 (2013.01); H01J 37/222 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for capturing partial regions of a sample by a microscope the method comprising:
determining the partial regions of the sample which are to be captured by the microscope, the partial regions determined by a machine learning system that is trained to determine the partial regions of the sample, wherein the machine learning system is trained by supervised learning, unsupervised learning, and/or reinforcement learning to determine the partial regions of the sample which are to be captured by the microscope;
determining, by the machine learning system, a scan pattern to be used to capture the partial regions of the sample;
determining, by the machine learning system, an order in which the partial regions are to be captured; and
capturing the partial regions of the sample by the microscope based on the scan pattern in the order determined by the machine learning system.