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.
Patent No.:
Date of Patent:
Dec. 06, 2022
Filed:
May. 19, 2021
Berkeley Lights, Inc., Emeryville, CA (US);
Darshan Thaker, Emeryville, CA (US);
Keith J. Breinlinger, Emeryville, CA (US);
Vincent Haw Tien Pai, Emeryville, CA (US);
Christoph Andreas Neyer, Emeryville, CA (US);
Thomas M. Vetterli, Berkeley, CA (US);
Hayley M. Bennett, Emeryville, CA (US);
Elisabeth Marie Walczak, Emeryville, CA (US);
Alexander Gerald Olson, Emeryville, CA (US);
Wesley Arthur Zink, Emeryville, CA (US);
John A. Tenney, Emeryville, CA (US);
Oleksandr Tokmakov, Khmelnytskyi, UA;
Igor Fastnacht, Lviv, UA;
Yuriy Nicheporuk, Khmelnytskyi, UA;
Andriy Koval, Khmelnytskyi, UA;
Khrystyna Andres, Lviv, UA;
Alona Kostenko, Lviv, UA;
Berkeley Lights Inc., Emeryville, CA (US);
Abstract
Disclosed are methods, systems, and articles of manufacture for performing a process on biological samples. An analysis of biological samples in multiple regions of interest in a microfluidic device and a timeline correlated with the analysis may be identified. One or more region-of-interest types for the multiple regions of interest may be determined; and multiple characteristics may be determined for the biological samples based at least in part upon the one or more region-of-interest types. Associated data that respectively correspond to the multiple regions of interest in a user interface for at least a portion of the biological samples in the user interface based at least in part upon the multiple identifiers and the timeline. A count of the biological samples in a region of interest may be determined based at least in part upon a class or type of data using a convolutional neural network (CNN).