Training data generation device, training data generation method, program, and defect test device
US-2024311994-A1 · Sep 19, 2024 · US
US12236583B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12236583-B2 |
| Application number | US-202117534250-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 23, 2021 |
| Priority date | Nov 23, 2021 |
| Publication date | Feb 25, 2025 |
| Grant date | Feb 25, 2025 |
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Systems, apparatuses, and methods are described for 3D luminescence imaging, by identifying a preferred optical pair and optimizing a scanned image using the preferred optical pair. An optimal filter pair may be selected from a list of two or more optical filters. An acceptable threshold of information may be obtained using a subset of the list of two or more optical filters (e.g., an optimal filter pair). An imaging device may be configured with the optimal filter pair to produce a pair of luminescence images of a target sample. In addition, luminescence images may be pre-processed to reduce the time-cost of conventional processing techniques of luminescence images. One or more computing devices may generate initial prior data based on a pair of luminescence images. An output may include one or more output luminescent sources that have been refined and/or optimized from the initial prior data.
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The invention claimed is: 1. A method comprising: receiving, from a user device, one or more images, wherein each image, of the one or more images, was generated by application of a corresponding optical filter, of one or more optical filters, to light from a bioluminescent source located within a volume of biological material; determining, based on the one or more images, one or more image segments; generating one or more volume sub-regions by, for each volume sub-region, of the one or more volume sub-region, corresponding to an image segment of the one or more image segments: generating one or more volume test-regions, wherein each of the one or more volume test-regions comprise one or more voxels assigned one or more radiation test-values, and wherein the one or more radiation test-values are determined based on the bioluminescent source, the volume of biological material, and the one or more optical filters; generating, based on the one or more radiation test-values assigned to the one or more voxels and the one or more optical filters, one or more test images; generating, based on the one or more test images, image test-segments; determining correlation values between the image test-segments and the image segment; and selecting, based on the correlation values of the image test-segments, a volume test-region as the volume sub-region; determining, based on the one or more volume sub-regions, an output volume region comprising output voxels, wherein one or more output radiation values are assigned to each of the output voxels; and causing image reconstruction, by a computing device and based on the output volume region, of the bioluminescent source. 2. The method of claim 1 , wherein the determining the one or more image segments comprises comparing numerical values of pixels of the one or more images with one or more threshold values. 3. The method of claim 1 , wherein a quantity of the one or more image segments is less than a pre-determined quantity of image segments. 4. The method of claim 1 , further comprising sending, to a storage device, the output volume region. 5. The method of claim 1 , further comprising: determining, for a volume sub-region, a distance between a voxel associated with the volume sub-region and a surface boundary of the volume of biological material. 6. The method of claim 1 , wherein the output volume region is determined based on performing an average, for one or more voxels of the one or more volume sub-regions, of the radiation values assigned to the one or more voxels. 7. The method of claim 1 , wherein the user device corresponds to a three-dimensional bioluminescent imaging device. 8. The method of claim 1 , wherein the selecting the volume test-region as the volume sub-region is based on determining a highest correlation value, of the correlation values, corresponding to an image test-segment, of the image test-segments, corresponding to the volume test-. 9. The method of claim 1 , wherein the one or more optical filters comprise a first optical filter and a second optical filter, and wherein the first and second optical filters correspond to an optical filter pair selected from a list of available optical filters. 10. The method of claim 1 , further comprising: receiving, from a user device, one or more additional images associated with one or more additional optical filters and the bioluminescent source located within the volume of biological material; determining, based on the one or more additional images, one or more additional image segments; generating one or more additional volume sub-regions associated with the one or more additional image segments, wherein each of the one or more additional volume sub-regions comprises additional voxels, and wherein each of the additional voxels is assigned one or more additional radiation values determined based on the bioluminescent source, the volume of biological material, and the one or more additional optical filters; determining, based on the one or more additional volume sub-regions, a second output volume region comprising additional output voxels, wherein one or more output radiation values are assigned to each of the additional output voxels; and sending, to the computing device and for additional processing, the second output volume region. 11. One or more non-transitory computer-readable media storing instructions that, when executed, cause: receiving, from a user device, one or more images, wherein each image, of the one or more images, was generated by application of a corresponding optical filter, of one or more optical filters, to light from a bioluminescent source located within a volume of biological material; determining, based on the one or more images, one or more image segments; generating one or more volume sub-regions by, for each volume sub-region, of the one or more volume sub-region, corresponding to an image segment of the one or more image segments: generating one or more volume test-regions, wherein each of the one or more volume test-regions comprise one or more voxels assigned one or more radiation test-values, and wherein the one or more radiation test-values are determined based on the bioluminescent source, the volume of biological material, and the one or more optical filters; generating, based on the one or more radiation test-values assigned to the one or more voxels and the one or more optical filters, one or more test images; generating, based on the one or more test images, image test-segments; determining correlation values between the image test-segments and the image segment; and selecting, based on the correlation values of the image test-segments, a volume test-region as the volume sub-region; determining, based on the one or more volume sub-regions, an output volume region comprising output voxels, wherein one or more output radiation values are assigned to each of the output voxels; and causing image reconstruction, by a computing device and based on the output volume region, of the bioluminescent source. 12. The one or more non-transitory computer-readable media of claim 11 , wherein the determining the one or more image segments comprises comparing numerical values of pixels of the one or more images with one or more threshold values. 13. The one or more non-transitory computer-readable media of claim 11 , wherein the output volume region is determined based on performing an average, for one or more voxels of the one or more volume sub-regions, of the radiation values assigned to the one or more voxels. 14. The one or more non-transitory computer-readable media of claim 11 , wherein the user device corresponds to a three-dimensional bioluminescent imaging device. 15. The one or more non-transitory computer-readable media of claim 11 , wherein the selecting the volume test-region as the volume sub-region is based on determining a highest correlation value, of the correlation values, corresponding to an image test-segment, of the image test-segments, corresponding to the volume test-region. 16. The one or more non-transitory computer-readable media of claim 11 , wherein a quantity of the one or more image segments is less than a pre-determined quantity of image segments. 17. A system comprising: a user device; a computing device comprising: one or more processors; and memory storing instructions that, when executed by the one or more processors, cause the computing device to: receive, from the user device, one or more images, wherein each image, of the one or more images, was generated by application of a corre
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