Patent ID: 11900600
Assignee: ALTIUS INSTITUTE FOR BIOMEDICAL SCIENCES
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for characterizing a population of cells, the method comprising:
a) acquiring a series of one or more images of a population of cells, wherein at least one image of the series comprises an image of one or more cells; and
b) processing the series of one or more images using a statistical or machine learning algorithm, wherein the statistical or machine learning algorithm generates a cell characterization data set that comprises a basis representation of one or more key attributes of cells within the population of cells,
wherein the statistical or machine learning algorithm comprises an unsupervised machine learning algorithm, and wherein the unsupervised machine learning algorithm comprises an artificial neural network, an association rule learning algorithm, a hierarchical clustering algorithm, a cluster analysis algorithm, a matrix factorization approach, a dimensionality reduction approach, or any combination thereof.