US2023274447A1PendingUtilityA1
System and method for automated cell positioning
Est. expiryNov 5, 2041(~15.3 yrs left)· nominal 20-yr term from priority
G06T 7/248C12N 5/0604G06T 7/73G06T 2207/10056G06T 2207/10016G06T 2207/20081G06T 2207/30024C12N 5/0608
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Claims
Abstract
The method for automated cell positioning can include: sampling a video of a scene having a gamete, tracking the gamete, and positioning the gamete within a target region. The method can optionally include: determining attribute values for the gamete, selecting the gamete, reorienting the gamete, and/or manipulating the gamete, and/or any suitable steps.
Claims
exact text as granted — not AI-modifiedWe claim:
1 . A system, comprising:
an imaging system comprising a camera, wherein the imaging system is configured to sample a video of a gamete; a processor configured to track the gamete across frames of the video; a positioning system comprising a stage, wherein the positioning system is configured to position the gamete within a target region based on a gamete track; and an aspirator configured to retrieve the gamete from the target region.
2 . The system of claim 1 , wherein the positioning system is configured to automatically position the gamete in substantially real time.
3 . The system of claim 1 , wherein the stage is actuatable in at least two dimensions.
4 . The system of claim 3 , wherein the stage comprises an xy stage.
5 . The system of claim 1 , wherein the target region comprises a center of a field of view of the imaging system.
6 . The system of claim 1 , wherein the processor is further configured to determine a focus level based on the video using a focus model, wherein the imaging system comprises a focus actuation system, wherein the focus actuation system is automatically actuated based on the focus level.
7 . The system of claim 1 , wherein the aspirator is configured to move to a target z-location and aspirate at the target z-location to retrieve the gamete.
8 . The system of claim 1 , wherein the aspirator is configured to retrieve the gamete without immobilizing the gamete.
9 . The system of claim 1 , wherein the imaging system is configured to sample the video at at least 15 frames per second.
10 . The system of claim 1 , wherein the gamete is retrieved for use in an assistive reproductive technology.
11 . A method, comprising:
sampling a video of a gamete; determining a gamete track across frames of the video; automatically positioning the gamete within a target region based on the gamete track; and retrieving the gamete within the target region.
12 . The method of claim 11 , wherein retrieving the gamete comprises: positioning an aspirator and aspirating the gamete using the aspirator.
13 . The method of claim 12 , wherein positioning the aspirator comprises moving the aspirator in the z-direction.
14 . The method of claim 12 , wherein the gamete is aspirated from a head of the gamete.
15 . The method of claim 11 , wherein the gamete is one of a set of gametes, the method further comprising:
determining an attribute value for the gamete based on the video, using a trained machine learning model; and selecting the gamete from the set of gametes based on the attribute value.
16 . The method of claim 15 , further comprising: evaluating whether a flat side of the gamete is depicted in a frame of the video, wherein the attribute value for the gamete is determined when the flat side of the gamete is depicted in the frame.
17 . The method of claim 15 , wherein the attribute value comprises a timeseries of attribute values.
18 . The method of claim 15 , wherein the attribute value comprises a morphology attribute value and a motility attribute value.
19 . The method of claim 15 , wherein the gamete is selected using a trained selection model, wherein training the selection model is trained using specialist-labeled images.
20 . The method of claim 11 , further comprising fertilizing an ovum using the gamete.Cited by (0)
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