US 12,216,112 B2
Method to detect white blood cells and/or white blood cell subtypes from non-invasive capillary videos
Carlos Castro Gonzalez, Cambridge, MA (US); Ian Butterworth, Somerville, MA (US); Aurelien Bourquard, Madrid (ES); and Alvaro Sanchez Ferro, Madrid (ES)
Assigned to Leuko Labs, Inc., Boston, MA (US)
Filed by Leuko Labs, Inc., Boston, MA (US)
Filed on Nov. 14, 2023, as Appl. No. 18/508,899.
Application 18/508,899 is a continuation of application No. 17/331,893, filed on May 27, 2021, granted, now 11,860,154.
Claims priority of provisional application 63/031,117, filed on May 28, 2020.
Prior Publication US 2024/0085399 A1, Mar. 14, 2024
Int. Cl. G01N 33/49 (2006.01); G01N 15/01 (2024.01); G01N 15/10 (2024.01); G01N 15/14 (2024.01); G01N 15/1429 (2024.01); G01N 15/1433 (2024.01); G01N 15/1434 (2024.01); G01N 21/31 (2006.01); G06F 18/214 (2023.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/38 (2017.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01)
CPC G01N 33/49 (2013.01) [G01N 15/1429 (2013.01); G01N 15/1433 (2024.01); G01N 15/147 (2013.01); G01N 21/31 (2013.01); G06F 18/2148 (2023.01); G06T 7/0016 (2013.01); G06T 7/11 (2017.01); G06T 7/38 (2017.01); G06V 10/56 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G01N 2015/012 (2024.01); G01N 2015/016 (2024.01); G01N 2015/1006 (2013.01); G01N 2015/1443 (2013.01); G01N 2015/1486 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30101 (2013.01); G06T 2207/30242 (2013.01); G06V 2201/03 (2022.01)] 21 Claims
OG exemplary drawing
 
1. A method to detect white blood cells and/or white blood cell subtypes from non-invasive capillary videos, the method comprising:
acquiring a first plurality of images of a region of interest including one or more capillaries of a predetermined area of a human subject from non-invasive capillary videos captured with an optical imaging process;
processing the first plurality of images to determine one or more optical absorption gaps located in said capillary;
annotating the first plurality of images with an indication of any optical absorption gap detected in the first plurality of images;
acquiring a second plurality of images of the same region of interest of the same capillary with an advanced optical imaging process capable of resolving cellular structure of white blood cells and white blood cell subtypes;
spatiotemporally annotating the second plurality of images with an indication of any white blood cell detected and/or a subtype of any white blood cell detected in the second plurality of images; and
determining a presence of white blood cells and/or the subtype of any white blood cells present in the one or more optical absorption gaps using a machine learning subsystem.