Methods and systems for image data processing
Embodiments of the computer-implemented methods, storage mediums, and systems may be configured to determine locations of particles within a first image of the particles. The particles may have fluorescence-material associated therewith. The embodiments may include calculating a transform parameter, and the transform parameter may define an estimated movement in the locations of the particles between the first image of the particles and a second image of the particles. The embodiments may further including applying the transform parameter to the locations of the particles within the first image to determine movement locations of the particles within the second image.
1. A computer-implemented method, comprising:
determining locations of particles within a first image of the particles, wherein the particles have fluorescence-material associated therewith;
calculating a transform parameter, wherein the transform parameter defines an estimated shift in the locations of the particles between the first image of the particles and a second image of the particles, and wherein the transform parameter comprises a radial component and a constant component, the radial component proportional to a distance between the locations of the particles within the first image and a center of the first image;
applying the transform parameter to the locations of the particles within the first image to determine movement locations of the particles within the second image.
2. The computer-implemented method of claim 1 , wherein calculating the transform parameter comprises:
estimating estimated locations of particles within the second image;
calculating potential transform parameters based on the locations of the particles within the first image and the estimated locations of the particles in the second image.
3. The computer-implemented method of claim 2 , wherein calculating the transform parameter further comprises determining an optimal transform parameter based on the potential transform parameters.
4. The computer-implemented method of claim 2 , wherein estimating the estimated locations of the particles within the second image comprises determining maximal integral locations based on the second image and the locations of the particles within the first image.
5. The computer-implemented method of claim 3 , wherein determining the optimal transform parameter comprises calculating a Hough transform.
6. The computer-implemented method of claim 1 , further comprising calculating an error component based on a force between the particles.
7. A non-transitory storage medium comprising program instructions which are executable by a processor for:
determining locations of particles within a first image of the particles, wherein the particles have fluorescence-material associated therewith;
calculating a transform parameter, wherein the transform parameter defines an estimated movement in the locations of the particles between the first image of the particles and a second image of the particles, and wherein the transform parameter comprises a radial component and a constant component, the radial component proportional to a distance between the locations of particles within the first image and a center of the first image;
applying the transform parameter to the locations of the particles within the first image to determine movement locations of the particles within the second image.
8. The non-transitory storage medium of claim 7 , wherein calculating the transform parameter comprises:
estimating estimated locations of particles within the second image;
calculating potential transform parameters based on the locations of the particles within the first image and the estimated locations of the particles in the second image.
9. The non-transitory storage medium of claim 8 , wherein calculating the transform parameter further comprises determining an optimal transform parameter based on the potential transform parameters.
10. The non-transitory storage medium of claim 8 , wherein estimating the estimated locations of the particles within the second image comprises determining maximal integral locations based on the second image and the locations of the particles within the first image.
11. The non-transitory storage medium of claim 9 , wherein determining the optimal transform parameter comprises calculating a Hough transform.
12. The non-transitory storage medium of claim 7 , further comprising calculating an error component based on a force between the particles.
13. A system configured to acquire and process image data, comprising:
an imaging subsystem configured to image, at different wavelength bands, particles disposed within the imaging subsystem; and
a non-transitory storage medium comprising program instructions which are executable by a processor for:
storing data acquired for multiple images of the particles, wherein each of the multiple images corresponds to a different wavelength band;
determining locations of particles within a first image of the particles, wherein the particles have fluorescence-material associated therewith;
calculating a transform parameter, wherein the transform parameter defines an estimated movement in the locations of the particles between the first image of the particles and a second image of the particles, and wherein the transform parameter comprises a radial component and a constant component, the radial component proportional to a distance between the locations of particles within the first image and a center of the first image;
applying the transform parameter to the locations of the particles within the first image to determine movement locations of the particles within the second image.
14. The system of claim 13 , wherein calculating the transform parameter comprises:
estimating estimated locations of particles within the second image;
calculating potential transform parameters based on the locations of the particles within the first image and the estimated locations of the particles in the second image.
15. The system of claim 14 , wherein calculating the transform parameter further comprises determining an optimal transform parameter based on the potential transform parameters.
16. The system of claim 14 , wherein estimating the estimated locations of the particles within the second image comprises determining maximal integral locations based on the second image and the locations of the particles within the first image.
17. The system of claim 15 , wherein determining the optimal transform parameter comprises calculating a Hough transform.