View source for 20230045152. System and method to simultaneously track multiple organisms at high resolution simplified abstract (Ramona Optics Inc.)

=System and method to simultaneously track multiple organisms at high resolution=


==Organization Name==

[[:Category:Ramona Optics Inc.|Ramona Optics Inc.]]


[[Category:Ramona Optics Inc.]]

==Inventor(s)==

[[:Category:Veton Saliu of Durham NC (US)|Veton Saliu of Durham NC (US)]][[Category:Veton Saliu of Durham NC (US)]]

[[:Category:Mark Harfouche of Harfouche NC (US)|Mark Harfouche of Harfouche NC (US)]][[Category:Mark Harfouche of Harfouche NC (US)]]

[[:Category:Gregor Horstmeyer of Durham NC (US)|Gregor Horstmeyer of Durham NC (US)]][[Category:Gregor Horstmeyer of Durham NC (US)]]

[[:Category:John Efromson of Durham NC (US)|John Efromson of Durham NC (US)]][[Category:John Efromson of Durham NC (US)]]

==System and method to simultaneously track multiple organisms at high resolution - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20230045152 titled 'System and method to simultaneously track multiple organisms at high resolution

==Simplified Explanation==

The abstract describes a microscopy system that uses multiple cameras to capture image data of a sample with organisms distributed over a wide area. The image data is processed by a first processor for each camera and then aggregated and streamed to a second processor for tracking the organisms. The use of multiple cameras with overlapping images allows for 3D tracking of the organisms through photogrammetry.

* Multiple cameras are used to capture image data of a sample with organisms distributed over a wide area.
* Each camera's image data is processed by a first processor.
* The processed image data from all cameras is aggregated and streamed to a second processor.
* The second processor is responsible for tracking the organisms.
* The use of multiple cameras with overlapping images enables 3D tracking of the organisms through photogrammetry.

==Potential Applications==
* Biological research and analysis
* Medical diagnostics and pathology
* Environmental monitoring and analysis
* Industrial quality control and inspection

==Problems Solved==
* Enables tracking and analysis of organisms distributed over a wide area
* Provides 3D tracking capability through the use of multiple cameras and photogrammetry
* Improves accuracy and efficiency of microscopy imaging and analysis

==Benefits==
* Enhanced understanding of biological processes and behaviors
* Improved accuracy and efficiency in tracking and analyzing organisms
* Enables non-invasive and real-time monitoring of organisms in their natural environment
* Provides valuable insights for various fields including biology, medicine, and environmental science


==Original Abstract Submitted==

a microscopy includes multiple cameras working together to capture image data of a sample having a group of organisms distributed over a wide area, under the influence of an excitation instrument. a first processor is coupled to each camera to process the image data captured by the camera. outputs from the multiple first processors are aggregated and streamed serially to a second processor for tracking the organisms. the presence of the multiple cameras capturing images from the sample, configured with 50% or more overlap, can allow 3d tracking of the organisms through photogrammetry.



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