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1. WO2021113660 - SYSTEMS AND METHODS FOR IN SITU OPTIMIZATION OF TUNABLE LIGHT EMITTING DIODE SOURCES

Note: Text based on automatic Optical Character Recognition processes. Please use the PDF version for legal matters

[ EN ]

CLAIMS

1. A method comprising:

receiving at least a first data set from an image sensor, the first data set being collected by the image sensor based on illumination of a sample using a tunable light emitting diode source having a plurality of tuning states corresponding to a plurality of illumination spectrums, wherein the first data set is associated with a first tuning state associated with a first illumination spectrum;

generating a score image data set based on the first data set;

determining whether the score image data set satisfies a tolerance level; and generating a set of test data based on the score image data set when the score image data set satisfies the tolerance level.

2. The method of claim 1, further comprising:

analyzing the set of test data to determine at least one characteristic of the sample.

3. The method of claim 2, wherein the at least one characteristic comprises one or more of a presence of an analyte in the sample, an absence of the analyte in the sample, a classification of the analyte, a non-classification of the analyte, or a concentration of the analyte.

4. The method of claim 1, wherein the first data set is representative of a first set of interacted photons based on the first illumination spectrum.

5. The method of claim 4, wherein the first set of interacted photons and the second set of interacted photons comprise one or more of photons absorbed by the sample, photons reflected from the sample, photons scattered by the sample, or photons emitted by the sample.

6 The method of claim 1, wherein the set of test data provides visual contrast between the sample and background materials.

7. The method of claim 1, further comprising receiving a second data set from the image sensor, the second data set being collected by the image sensor based on illumination of the

sample using the tunable light emitting diode source, wherein the second data set is associated with a second tuning state associated with a second illumination spectrum of the tunable light emitting diode source; and

wherein generating the score image data set is based on the first data set and the second data set and includes applying an optical computation to the first data set and the second data set.

8. The method of claim 7, wherein the second data set is representative of a second set of interacted photons based on the second illumination spectrum.

9. The method of claim 8, wherein the second set of interacted photons comprise one or more of photons absorbed by the sample, photons reflected from the sample, photons scattered by the sample, photons emitted by the sample, or photons transmitted through the sample.

10. The method of claim 7, wherein the first data set comprises a first image (Tl) and the second data set comprises a second image (T2), and the optical computation comprises one or more of T1+T2, T1-T2, T1*T2, T1/T2, or combinations thereof.

11. The method of claim 1, further comprising:

repeating the receiving, generating, and determining steps for at least one additional tuning state in response to the score image set of data not satisfying the tolerance level.

12. The method of claim 11, wherein the repeating is performed until the tolerance level is satisfied.

13. The method of claim 11, wherein the repeating is performed a pre-determined number of times or for a pre-determined amount of time.

14. The method of claim 1, wherein the tolerance level comprises at least one figure of merit.

15. The method of claim 14, wherein the at least one figure of merit comprises one or more of an area under the receiver operator characteristic (AUROC) curve, standard error of calibration (SEC), signal to noise ratio (SNR), a Fisher contrast ratio, standard error of prediction (SEP), or optical throughput (%T).

16. The method of claim 1, wherein the tunable light emitting diode source has a plurality of channels corresponding to a band of light and each combination of the plurality of channels corresponds to one of the plurality of tuning states.

17. A method comprising:

illuminating a sample, using a tunable light emitting diode source having a plurality of tuning states corresponding to a plurality of illumination spectrums, at a first tuning state associated with a first illumination spectrum of the tunable light emitting diode source to generate a first set of interacted photons;

generating a first data set representative of the first set of interacted photons; generating a score image data set based on the first data set;

determining whether the score image data set satisfies a tolerance level; and generating a set of test data based on the score image data set when the score image data set satisfies the tolerance level.

18. The method of claim 17 further comprising:

analyzing the set of test data to determine at least one characteristic of the sample.

19. The method of claim 18, wherein the at least one characteristic comprises one or more of a presence of an analyte in the sample, an absence of the analyte in the sample, a classification of the analyte, a non-classification of the analyte, or a concentration of the analyte.

20. The method of claim 17, wherein the first data set is representative of the first set of interacted photons based on the first illumination spectrum.

21. The method of claim 17, wherein the first set of interacted photons comprise one or more of photons absorbed by the sample, photons reflected from the sample, photons scattered by the sample, or photons emitted by the sample.

22. The method of claim 17, wherein the set of test data provides visual contrast between the sample and background materials.

23. The method of claim 17, further comprising:

illuminating the sample using the tunable light emitting diode source at a second tuning state associated with a second illumination spectrum of the tunable light emitting diode source to generate a second set of interacted photons;

generating a second data set representative of the second set of interacted photons; and wherein generating the score image data set is based on an optical computation applied to the first data set and the second data set.

24. The method of claim 23, wherein the second data set is representative of the second set of interacted photons based on the second illumination spectrum.

25. The method of claim 23, wherein the second set of interacted photons comprise one or more of photons absorbed by the sample, photons reflected from the sample, photons scattered by the sample, photons emitted by the sample, or photons transmitted through the sample.

26. The method of claim 23, wherein the first data set comprises a first image (Tl) and the second data set comprises a second image (T2), and the optical computation comprises one or more of T1+T2, T1-T2, T1*T2, T1/T2, or combinations thereof.

27. The method of claim 17 further comprising:

repeating the receiving, generating, and determining steps for at least one additional tuning state in response to the score image set of data not satisfying the tolerance level.

28. The method of claim 27, wherein the repeating is performed until the tolerance level is satisfied.

29. The method of claim 27, wherein the repeating is performed a pre-determined number of times or for a pre-determined amount of time.

30. The method of claim 17, wherein the tolerance level comprises at least one figure of merit.

31. The method of claim 30, wherein the at least one figure of merit comprises one or more of an area under the receiver operator characteristic (AUROC) curve, standard error of calibration (SEC), signal to noise ratio (SNR), a Fisher contrast ratio, standard error of prediction (SEP), or optical throughput (%T).

32. The method of claim 17, wherein the tunable light emitting diode source has a plurality of channels corresponding to a band of light and each combination of the plurality of channels corresponds to one of the plurality of tuning states.

33. A system comprising:

a processor; and

a non-transitory processor-readable storage medium in operable communication with the processor, wherein the storage medium contains one or more programming instructions that, when executed, cause the processor to perform the following:

receiving at least a first data set and a second data set from an image sensor, the first and second data sets being collected by the image sensor based on illumination of a sample using a tunable light emitting diode source having a plurality of tuning states corresponding to a plurality of illumination spectrums, wherein the first data set and the second data set are associated with a first tuning state associated with a first illumination spectrum and a second tuning state associated with a second illumination spectrum of the tunable light emitting diode source, respectively;

generating a score image data set based on an optical computation applied to the first and second data sets;

determining whether the score image data set satisfies a tolerance level; and generating a set of test data based on the score image data set when the score image data set satisfies the tolerance level.

34. The system of claim 33, wherein the storage medium contains at least one additional programming instruction that, when executed, cause the processor to perform the following: analyzing the set of test data to determine at least one characteristic of the sample.

35. The system of claim 34, wherein the at least one characteristic comprises one or more of a presence of an analyte in the sample, an absence of the analyte in the sample, a classification of the analyte, a non-classification of the analyte, or a concentration of the analyte.

36. The system of claim 33, wherein the first data set is representative of a first set of interacted photons based on the first illumination spectrum and the second data set is representative of a second set of interacted photons based on the second illumination spectrum.

37. The system of claim 36, wherein the first set of interacted photons and the second set of interacted photons comprise one or more of photons absorbed by the sample, photons reflected from the sample, photons scattered by the sample, photons emitted by the sample, or photons transmitted through the samples.

38. The system of claim 33, wherein the set of test data provides visual contrast between the sample and background materials.

39. The system of claim 33, wherein the storage medium contains at least one additional programming instruction that, when executed, cause the processor to perform the following: repeating the receiving, generating, and determining steps for at least one additional tuning state in response to the score image set of data not satisfying the tolerance level.

40. The system of claim 39, wherein the repeating is performed until the tolerance level is satisfied.

41. The system of claim 39, wherein the repeating is performed a pre-determined number of times or for a pre-determined amount of time.

42. The system of claim 33, wherein the first data set comprises a first image (Tl) and the second data set comprises a second image (T2), and the optical computation comprises one or more of T1+T2, T1-T2, T1*T2, T1/T2, or combinations thereof.

43. The system of claim 33, wherein the tolerance level comprises at least one figure of merit.

44. The system of claim 33, wherein the at least one figure of merit comprises one or more of an area under the receiver operator characteristic (AUROC) curve, standard error of calibration (SEC), signal to noise ratio (SNR), a Fisher contrast ratio, standard error of prediction (SEP), or optical throughput (%T).

45. The system of claim 33, wherein the tunable light emitting diode has a plurality of channels corresponding to a band of light and each combination of the plurality of channels corresponds to one of the plurality of tuning states.

46. A system comprising:

a tunable light emitting diode source having a plurality of tuning states corresponding to a plurality of illumination spectrums;

an image sensor; and

a computing device comprising:

a processor; and

a non-transitory processor-readable storage medium in operable communication with the processor, wherein the storage medium contains one or more programming instructions that, when executed, cause the processor to perform the following:

receiving at least a first data set and a second data set from the image sensor, the first and second data sets being collected by the image sensor based on illumination of a sample using, wherein the first data set and the second data set are associated with a first tuning state associated with a first illumination spectrum and a second tuning state associated with a second illumination spectrum of the tunable light emitting diode source, respectively;

generating a score image data set based on an optical computation applied to the first and second data sets;

determining whether the score image data set satisfies a tolerance level; and

generating a set of test data based on the score image data set when the score image data set satisfies the tolerance level.

47. The system of claim 46, wherein the storage medium contains at least one additional programming instruction that, when executed, cause the processor to perform the following: analyzing the set of test data to determine at least one characteristic of the sample.

48. The system of claim 47, wherein the at least one characteristic comprises one or more of a presence of an analyte in the sample, an absence of the analyte in the sample, a classification of the analyte, a non-classification of the analyte, or a concentration of the analyte.

49. The system of claim 46, wherein the first data set is representative of a first set of interacted photons based on the first illumination spectrum and the second data set is representative of a second set of interacted photons based on the second illumination spectrum.

50. The system of claim 49, wherein the first set of interacted photons and the second set of interacted photons comprise one or more of photons absorbed by the sample, photons reflected from the sample, photons scattered by the sample, photons emitted by the sample, or photons transmitted through the sample.

51. The system of claim 46, wherein the set of test data provides visual contrast between the sample and background materials.

52. The system of claim 46, wherein the storage medium contains at least one additional programming instruction that, when executed, cause the processor to perform the following:

repeating the receiving, generating, and determining steps for at least one additional tuning state in response to the score image set of data not satisfying the tolerance level.

53. The system of claim 52, wherein the repeating is performed until the tolerance level is satisfied.

54. The system of claim 52, wherein the repeating is performed a pre-determined number of times or for a pre-determined amount of time.

55. The system of claim 46, wherein the first data set comprises a first image (Tl) and the second data set comprises a second image (T2), and the optical computation comprises one or more of T1+T2, T1-T2, T1*T2, T1/T2, or combinations thereof.

56. The system of claim 46, wherein the tolerance level comprises at least one figure of merit.

57. The system of claim 46, wherein the at least one figure of merit comprises one or more of an area under the receiver operator characteristic (AUROC) curve, standard error of calibration (SEC), signal to noise ratio (SNR), a Fisher contrast ratio, standard error of prediction (SEP), or optical throughput (%T).

58. The system of claim 46, wherein the tunable light emitting diode has a plurality of channels corresponding to a band of light and each combination of the plurality of channels corresponds to one of the plurality of tuning states.