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OwnerSupriya Balaji Ramachandran, Aaron Jacob Middlebrookinventors
Estimating the term…
Aspects of the present disclosure include systems for detecting and classifying a cancerous cell in a whole blood sample in a flow stream. Systems according to certain embodiments include a light source configured to irradiate cells of a whole blood sample in a flow stream, a light detection system comprising a photodetector capturing an image of light emitted from the irradiated cells and a processor having memory operably coupled to the processor where the memory includes instructions stored thereon, which when executed by the processor, cause the processor to apply a neural network to the captured image to detect a presence of a cancerous cell in the whole blood sample having a minimum concentration of the cancerous cell and determine a classification of the cancerous cell of a plurality of classifications. In some instances, the neural network is trained using images of a sample tagged with a fluorophore ground truth marker. Methods for using the subject systems to detect and classify cancerous cells in a whole blood sample are also described. Non-transitory computer readable storage media are also provided.
A system comprising:
A method comprising:
A non-transitory computer readable storage medium comprising instructions stored thereon wherein the non-transitory computer readable storage medium comprises:
Dependencies are inferred from the claim text.