Systems and methods for cell identification using lens-less imaging
AssigneeUniversity of Connecticut
InventorsBahram Javidi, Adam Markman, Siddharth Rawat, Satoru Komatsu
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Abstract
Embodiments of the present disclosure include systems and methods for cell identification using a lens-less cell identification sensor. Randomly distributed cells can be illuminated by a light source such as a laser. The object beam can be passed through one or more diffusers. Pattern recognition is applied on the captured optical signature to classify the cells. For example, features can be extracted and a trained classifier can be used to classify the cells. The cell classes can be accurately identified even when multiple cells of the same class are inspected.
Claims20
A lens-less microscopic object identification system, the system comprising:
- a platform configured to support one or more microscopic objects;
- a light source disposed with respect to the platform, configured to propagate a beam through the one or more microscopic objects disposed on the platform;
- one or more diffusers disposed with respect to the platform, configured to encode spatial frequencies of the one or more microscopic objects in the beam, wherein the encoded beam includes an optical signature of the one or more microscopic objects impressed onto the encoded beam;
- an image sensor disposed with respect to the one or more diffusers, configured to capture the optical signature of the one or more microscopic objects included in the encoded beam;
- and
- a computing system connected to the image sensor, configured to:
- receive the optical signature of the one or more microscopic objects;
- determine an identity of the one or more microscopic objects by classification based on the optical signature of the one or more microscopic objects,
- wherein the system includes no focusing lens positioned in an optical path of the beam between the light source and the image sensor.
A method for identifying microscopic objects, the method comprising:
- supporting, via a platform, one or more microscopic objects;
- propagating, via a light source disposed with respect to the platform, a beam through the one or more microscopic objects disposed on the platform;
- encoding, via one or more diffusers disposed with respect to the platform, spatial frequencies of the object in the beam, in response to the beam passing through the one or more diffusers, wherein the encoded beam includes an optical signature of the one or more microscopic objects impressed onto the encoded beam;
- capturing, via an image sensor disposed with respect to the one or more diffusers, an optical signature of the one or more microscopic objects included in the encoded beam, wherein the beam does not pass through any focusing lens positioned in an optical path of the encoded beam between the light source and the image sensor;
- receiving, via a computing system connected to the image sensor, the optical signature of the one or more microscopic objects included in the encoded beam;
- extracting, via the computing system, a plurality of features from the optical signature of the one or more microscopic objects;
- and
- determining, via the computing system, an identity of the one or more microscopic objects based on the plurality of features.
A lens-less microscopic object identification system, the system comprising:
- a platform configured to support one or more microscopic objects;
- a light source disposed with respect to the platform, configured to propagate a beam through the one or more microscopic objects disposed on the platform;
- a first diffuser disposed at a first distance with respect to the platform, configured to encode a pseudo-random encoded pattern of the one or more microscopic objects in the beam in response to the beam passing through the first diffuser;
- a second diffuser disposed at a second distance with respect to the first diffuser, configured to receive the beam encoded with the pseudo-random encoded pattern of the one or more microscopic objects and encode a double random encoded pattern of the one or more microscopic objects in the beam, in response to the passing through the second diffuser, wherein the double random encoded pattern is an optical signature of the one or more microscopic objects;
- an image sensor disposed at a third distance with respect to the second diffuser, configured to capture the optical signature of the one or more microscopic objects included in the encoded beam;
- and
- a computing system connected to the image sensor, configured to:
- receive the optical signature of the one or more microscopic objects;
- determine an identity of the one or more microscopic objects by classification based on the optical signature of the one or more microscopic objects,
- wherein the system includes no focusing lens positioned in an optical path of the beam between the light source and the image sensor.
Dependencies are inferred from the claim text.