US 12,253,516 B2
Optical coherence tomography in an intelligent automated in vitro fertilization and intracytoplasmic sperm injection platform
Alejandro Chavez-Badiola, Mexico City (MX); Gerardo Mendizabal-Ruiz, Guadalajara (MX); Adolfo Flores-Saiffe Farias, Zapopan (MX); Cesar Millan, Zapopan (MX); Vladimir C. Ocegueda Hernandez, Zapopan (MX); Victor Manuel Rico Botero, Guadalajara (MX); and Alan Murray, Greenwich, CT (US)
Assigned to Conceivable Life Sciences Inc., New York, NY (US)
Filed by Conceivable Life Sciences Inc., New York, NY (US)
Filed on Feb. 2, 2024, as Appl. No. 18/431,875.
Application 18/431,875 is a continuation of application No. PCT/US2024/013428, filed on Jan. 30, 2024.
Claims priority of provisional application 63/523,258, filed on Jun. 26, 2023.
Prior Publication US 2024/0426812 A1, Dec. 26, 2024
Int. Cl. G01N 33/50 (2006.01); A61B 17/425 (2006.01); C12N 5/073 (2010.01)
CPC G01N 33/5091 (2013.01) [A61B 17/425 (2013.01); C12N 5/0604 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method for automated, artificial-intelligence-based egg identification using optical coherence tomography (OCT), the method comprising:
positioning an OCT imaging system head in proximity to a biological sample containing an oocyte, wherein:
the OCT imaging system head is operatively coupled to an artificial intelligence/machine learning system (AI/ML system) and an imaging system, and
the imaging system includes a camera system and a lighting system;
creating a first three-dimensional image of the oocyte using the OCT imaging system head, the AI/ML system, and the imaging system;
using the AI/ML system to analyze the first three-dimensional image, wherein analyzing the first three-dimensional image includes detection of a presence or an absence of a polar body based on planar views of the oocyte; and
in response to identifying the presence of the polar body:
denuding the oocyte from the biological sample;
after denuding the oocyte, creating a second three-dimensional image of the oocyte using the OCT imaging system head, the AI/ML system, and the imaging system; and
using the AI/ML system to analyze the second three-dimensional image, wherein analyzing the second three-dimensional image includes automatically locating a presence or an absence of a meiotic spindle.