Increased dynamic range artificial neuron network apparatus and methods
US-9436909-B2 · Sep 6, 2016 · US
US11501432B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11501432-B2 |
| Application number | US-202016913765-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 26, 2020 |
| Priority date | Jun 26, 2020 |
| Publication date | Nov 15, 2022 |
| Grant date | Nov 15, 2022 |
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A spiking retina microscope comprising microscope optics and a neuromorphic imaging sensor. The microscope optics are configured to direct a magnified image of a specimen onto the neuromorphic imaging sensor. The neuromorphic imaging sensor comprises a plurality of sensor elements that are configured to generate spike signals in response to integrated light from the magnified image reaching a threshold. The spike signals may be processed by a processor unit to generate a result, such as tracking biological particles in a specimen comprising biological material.
Opening claim text (preview).
What is claimed is: 1. A spiking retina microscope, comprising: microscope optics; and a neuromorphic imaging sensor, wherein the microscope optics are configured to direct a magnified image of a specimen onto the neuromorphic imaging sensor and the neuromorphic imaging sensor comprises a plurality of sensor elements that are configured to generate spike signals in response to integrated light from the magnified image reaching a threshold, wherein each of the spike signals identifies a location in the magnified image and a time of occurrence of the spike signal. 2. The spiking retina microscope of claim 1 , further comprising illumination of the specimen. 3. The spiking retina microscope of claim 1 , wherein the plurality of sensor elements are leaky sensor elements. 4. The spiking retina microscope of claim 1 , wherein the plurality of sensor elements are non-leaky sensor elements. 5. The spiking retina microscope of claim 1 , further comprising a processor unit configured to process the spike signals to generate a result. 6. The spiking retina microscope of claim 5 , wherein the processor unit is an embedded coprocessor on the neuromorphic imaging sensor. 7. The spiking retina microscope of claim 5 , wherein the processor unit is a computer or a neuromorphic processor. 8. The spiking retina microscope of claim 5 , wherein the processor unit is configured to process the spike signals to track biological particles in the specimen comprising biological material. 9. A method of examining a specimen, comprising: placing the specimen in a spiking retina microscope, wherein the spiking retina microscope comprises microscope optics and a neuromorphic imaging sensor, such that a magnified image of the specimen is directed from the microscope optics onto the neuromorphic imaging sensor; and processing spike signals from the neuromorphic imaging sensor to generate a result, wherein the spike signals are generated by a plurality of sensor elements in the neuromorphic imaging sensor in response to integrated light from the magnified image reaching a threshold, and wherein each of the spike signals identifies a location in the magnified image and a time of occurrence of the spike signal. 10. The method of claim 9 , further comprising illuminating the specimen. 11. The method of claim 9 , wherein the plurality of sensor elements are leaky sensor elements. 12. The method of claim 9 , wherein the plurality of sensor elements are non-leaky sensor elements. 13. The method of claim 9 , wherein processing the spike signals comprises processing the spike signals by an embedded coprocessor on the neuromorphic imaging sensor. 14. The method of claim 9 , wherein processing the spike signals comprises processing the spike signals by a processor unit comprising a computer or a neuromorphic processor. 15. The method of claim 9 , wherein processing the spike signals comprises processing the spike signals using a data cube or back projection. 16. The method of claim 9 , wherein processing the spike signals to generate the result comprises tracking an object in the specimen, noise reduction, background subtraction, or classification of an object in the specimen. 17. A method of tracking biological particles, comprising: placing a specimen comprising biological material in a spiking retina microscope, wherein the spiking retina microscope comprises microscope optics and a neuromorphic imaging sensor, such that a magnified image of the specimen is directed from the microscope optics onto the neuromorphic imaging sensor; and processing spike signals from the neuromorphic imaging sensor to track the biological particles in the biological material, wherein the spike signals are generated by a plurality of sensor elements in the neuromorphic imaging sensor in response to integrated light from the magnified image reaching a threshold, and wherein each of the spike signals identifies a location in the magnified image and a time of occurrence of the spike signal. 18. The method of claim 17 , wherein the biological particles comprise biological cells or biological particles within biological cells. 19. The spiking retina microscope of claim 1 , wherein the neuromorphic imaging sensor comprises a dynamic vision sensor (DVS) or a dynamic and active-pixel vision sensor (DAVIS). 20. The spiking retina microscope of claim 1 , wherein the neuromorphic imaging sensor comprises a spiking processing array (SPARR).
Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position (signal generation from motion picture films H04N5/253) · CPC title
Acquisition · CPC title
Biomedical image inspection · CPC title
Mechanical or electrical details of cameras or camera modules specially adapted for being embedded in other devices · CPC title
Optical parts specially adapted for electronic image sensors; Mounting thereof · CPC title
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