Systems and methods for cell analysis
AssigneeDeepcell, Inc.
InventorsMahdokht Masaeli, Mahyar Salek
Life of this patent
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Abstract
The present disclosure provides systems and methods for classifying and sorting a cell. The method can comprise processing image data of cells to generate a cell morphology map comprising a plurality of morphologically-distinct clusters corresponding to different types or states of the cells. The method can comprise using a classifier to automatically classify a cellular image sample based on its proximity, correlation, or commonality with one or more of the morphologically-distinct clusters.
Claims22
1-163. (canceled)
A method, comprising:
- generating a cell morphology map using image data comprising tag-free images of a plurality of single cells, wherein the cell morphology map comprises a plurality of morphologically-distinct clusters corresponding to different types or states of the cells;
- and
- using a classifier to automatically classify a cellular image sample using a proximity, a correlation, a commonality, or a combination thereof, with one or more of the morphologically-distinct clusters, the classifier having been trained using the cell morphology map.
A non-transitory computer-readable medium storing instructions that, when executed by a processor, perform a method comprising:
- generating a cell morphology map comprising a plurality of morphologically-distinct clusters corresponding to different types or states of the cells using image data comprising tag-free images of a plurality of single cells;
- and
- automatically classifying, by a classifier trained using the cell morphology map, a cellular image sample using (i) a correlation, (ii) a commonality, or both (i) and (ii), with one or more of the morphologically-distinct clusters.
A system, comprising:
- at least one memory storing instructions;
- and
- at least one processor to execute the instructions to perform operations comprising:
- generating a cell morphology map using image data comprising tag-free images of a plurality of single cells, wherein the cell morphology map comprises a plurality of morphologically-distinct clusters corresponding to different types and/or states of the cells;
- and
- automatically classifying, by a classifier trained using the cell morphology map, a cellular image sample using (i) a proximity, (ii) a commonality, or both (i) and (ii), with one or more of the plurality of morphologically-distinct clusters.
Dependencies are inferred from the claim text.