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:
Jun. 16, 2026

Filed:

Dec. 06, 2024
Applicant:

Benchling, Inc., San Francisco, CA (US);

Inventors:

Chris Severs, San Francisco, CA (US);

Nick Floeck, Marlton, NJ (US);

Helen Liu-Mayo, Palo Alto, CA (US);

Nari Kang, San Francisco, CA (US);

Stephen Worlow, San Francisco, CA (US);

Assignee:

Benchling, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16B 50/30 (2019.01); G16B 40/20 (2019.01); G16B 45/00 (2019.01);
U.S. Cl.
CPC ...
G16B 50/30 (2019.02); G16B 40/20 (2019.02); G16B 45/00 (2019.02);
Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatic or semi-automatic end-to-end data analysis of bioprocess output data. In particular, using a bioinformatics platform subsystem in conjunction with a laboratory computer subsystem and an electronic laboratory notebook subsystem for automatic analysis of bioprocess output data within a unified platform system. The platform system receives user input that includes a request to perform an automatic analysis process and ultimately updates an electronic laboratory notebook entry that includes output data generated by the analysis. Because the platform system is capable of in real-time automatic handling of a plurality of datasets types from a plurality of bioprocesses, the system can simplify and accelerate bioprocess output data analysis and can be used in feedback-driven optimization of bioprocess procedures.


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