Methods and systems for imaging cells
AssigneesThe Charles Stark Draper Laboratory, Inc., University of Pittsburgh—Of the Commonwealth System of Higher Education
InventorsPaul Sammak, Rami Mangoubi, Mukund Desai, Christopher Jeffreys
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Abstract
The invention generally provides methods and systems for determining characteristics of cellular structures. The methods include non-invasive, non-perturbing, automatable, and quantitative methods and may be applied to the examination of cells such as stem cells, embryos, and egg cells.
Claims41
A non-invasive, automatable method for determining one or more characteristics of a cell, comprising:
- a) capturing an image of a cellular structure of one or more viable cells;
- b) deriving a plurality of numerical image features from said image;
- c) classifying the cellular structure according to a statistical classification model based on the derived image features;
- and
- thereby determining the characteristics of said cell.
The method of 1, wherein the numerical value of image features is derived from the physiological features of the image cells.
A system for determining one or more characteristics of a cell, comprising:
- a) a device for deriving a plurality of numerical image features from an image of said cellular structure;
- and
- b) a device for classifying the cellular structure according to a statistical classification model based on the derived image features.
A system for monitoring a characteristic of a cell in an environment, comprising:
- a) an image input for generating images of a cellular structure;
- b) an image analysis module for deriving a plurality of numerical image features from said images;
- and
- c) a statistical classification module for classifying the cellular structure based on the derived image features.
A system for managing the development of a cell in an environment, comprising:
- a) an image capture device for generating images of a cellular structure;
- b) an image analysis module for deriving a plurality of numerical image features from said images;
- c) a statistical classification module for classifying the cellular structure based on the derived image features;
- and
- d) an environmental control module for altering a condition of the environment based on the classification assigned by the statistical classification module.
A method of predicting the developmental state of a cell, comprising:
- a) capturing an image of a cellular structure;
- b) deriving a plurality of numerical image features from said image;
- c) classifying the cellular structure according to a statistical classification model based on the derived image features;
- wherein said classification is predictive of the developmental state of a cellular structure.
A system for predicting the developmental state of a cell, comprising:
- a) an image capture device for generating images of a cellular structure;
- b) an image analysis module for deriving a plurality of numerical image features from said images;
- c) a statistical classification module for classifying the cellular structure based on the derived image features;
- wherein said classification is predictive of the developmental state of a cellular structure.
A method of visualizing the similarity of cells, wherein cell types are graphically represented in the two-dimensions of an X/Y axis and the intersection of two cell types in the graph is annotated by the statistical distance of the two cell types.
Dependencies are inferred from the claim text.