US 12,226,125 B2
Autonomous vitrification in an intelligent automated in vitro fertilization and intracytoplasmic sperm injection platform
Gerardo Mendizabal-Ruiz, Guadalajara (MX); Alejandro Chavez-Badiola, Mexico City (MX); Alan Murray, Greenwich, CT (US); Jacques Cohen, New York, NY (US); Adolfo Flores-Saiffe Farias, Zapopan (MX); Cesar Millan, Zapopan (MX); Roberto Valencia-Murillo, Las Paz (MX); Vladimir C. Ocegueda Hernandez, Zapopan (MX); Giuseppe Silvestri, Canterbury (GB); Nuno Costa-Borges, Barcelona (ES); José Gregorio Espinoza Figueroa, Zapopan (MX); Johann Aguayo, Guadalajara (MX); and William Nicholas Garbarini, Jr., Cranford, NJ (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. 18/431,098.
Application 18/431,098 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 2024/0423672 A1, Dec. 26, 2024
Int. Cl. A61B 17/43 (2006.01); A61B 34/32 (2016.01); C12M 1/26 (2006.01); C12M 1/36 (2006.01); C12M 3/00 (2006.01)
CPC A61B 17/43 (2013.01) [A61B 34/32 (2016.02); C12M 21/06 (2013.01); C12M 33/04 (2013.01); C12M 41/48 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of artificial-intelligence-based robotic vitrification, comprising:
receiving at least one tissue sample in a dish holding a first solution;
processing an image object produced by an imaging system, using an artificial intelligence/machine learning system (AI/ML system), to determine a location of a retrievable target tissue sample of the at least one tissue sample;
positioning a robotic pipettor at a target physical orientation relative to the retrievable target tissue sample;
confirming a position of the robotic pipettor at the target physical orientation using the AI/ML system;
instructing the robotic pipettor to initiate contact with the retrievable target tissue sample and apply negative pressure to secure the retrievable target tissue sample to the robotic pipettor;
using a robotic microtool holder to lower a cryo-device into the dish;
using the robotic pipettor to place the retrievable target tissue sample on the cryo-device in the dish;
using the AI/ML system to form a vitrification assembly by holding the robotic pipettor and the robotic microtool holder stationary relative to each other so that a relative physical placement of the retrievable target tissue sample and the cryo-device remains unchanged; and
moving, robotically, the vitrification assembly through a plurality of different solutions in an order commanded by the AI/ML system and for a specified length of time, creating a fluid bridge between a plurality of drops, until the vitrification assembly reaches a final drop of the plurality of drops, wherein the plurality of drops corresponds to the plurality of different solutions, and wherein a cryoprotective agent (CPA) concentration in the final drop exceeds a threshold concentration.