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:
Jan. 09, 2024

Filed:

Mar. 29, 2018
Applicant:

Cilag Gmbh International, Zug, CH;

Inventors:

Frederick E. Shelton, IV, Hillsboro, OH (US);

Jason L. Harris, Lebanon, OH (US);

Tamara Widenhouse, Clarksville, OH (US);

David C. Yates, Morrow, OH (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/1459 (2006.01); A61B 5/00 (2006.01); A61B 1/00 (2006.01); A61B 18/12 (2006.01); A61B 90/00 (2016.01); A61B 90/30 (2016.01); A61B 17/072 (2006.01); A61B 5/0538 (2021.01); G06T 7/00 (2017.01); A61B 1/04 (2006.01); A61B 1/06 (2006.01); G06T 7/529 (2017.01); G01N 21/27 (2006.01); A61B 5/107 (2006.01); A61B 18/00 (2006.01); A61B 17/00 (2006.01); G16H 40/63 (2018.01); A61B 5/1455 (2006.01); A61B 5/026 (2006.01); A61B 17/32 (2006.01); G16H 40/67 (2018.01); A61B 18/14 (2006.01); A61B 17/068 (2006.01); A61B 34/30 (2016.01); G16H 30/20 (2018.01); A61B 90/60 (2016.01);
U.S. Cl.
CPC ...
A61B 1/000094 (2022.02); A61B 1/00011 (2013.01); A61B 1/044 (2022.02); A61B 1/0655 (2022.02); A61B 5/0033 (2013.01); A61B 5/0073 (2013.01); A61B 5/0075 (2013.01); A61B 5/0086 (2013.01); A61B 5/0538 (2013.01); A61B 5/1459 (2013.01); A61B 17/07207 (2013.01); A61B 18/1206 (2013.01); A61B 90/30 (2016.02); A61B 90/361 (2016.02); G01N 21/27 (2013.01); G06T 7/0012 (2013.01); G06T 7/529 (2017.01); A61B 5/0066 (2013.01); A61B 5/0261 (2013.01); A61B 5/1076 (2013.01); A61B 5/14551 (2013.01); A61B 17/068 (2013.01); A61B 17/320068 (2013.01); A61B 18/14 (2013.01); A61B 34/30 (2016.02); A61B 90/60 (2016.02); A61B 2017/00017 (2013.01); A61B 2017/00022 (2013.01); A61B 2017/00061 (2013.01); A61B 2017/00398 (2013.01); A61B 2017/00809 (2013.01); A61B 2017/07257 (2013.01); A61B 2017/07285 (2013.01); A61B 2018/0063 (2013.01); A61B 2018/0066 (2013.01); A61B 2018/00601 (2013.01); A61B 2018/00636 (2013.01); A61B 2018/00642 (2013.01); A61B 2018/00708 (2013.01); A61B 2018/00785 (2013.01); A61B 2018/00827 (2013.01); A61B 2018/00982 (2013.01); A61B 2034/303 (2016.02); A61B 2090/064 (2016.02); A61B 2090/065 (2016.02); A61B 2218/002 (2013.01); A61B 2218/008 (2013.01); A61B 2505/05 (2013.01); G16H 30/20 (2018.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01);
Abstract

A surgical image acquisition system includes multiple illumination sources, each source emitting light at a specified wavelength, a light sensor to receive light reflected from a tissue sample illuminated by each of the illumination sources, and a computing system. The computing system may receive data from the light sensor when the tissue sample is illuminated by the illumination sources, and calculate structural data related to one or more characteristics of a structure within the tissue. The structural data may be a surface characteristic such as a surface roughness or a structure composition such as a collagen and elastin composition. The computer system may further transmit the structural data to a smart surgical device. The smart devices may include a smart stapler, a smart RF sealing device, or a smart ultrasonic cutting device. The system may include a controller and computer enabled instructions to accomplish the above.


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