Systems for autofluorescent imaging and target ablation

1. A method comprising:

receiving a first input associated with a first dataset, the first dataset including data representative of a target fluorescent response in one or more target cells to electromagnetic energy from a first optical energy source;

receiving a second input associated with a second dataset, the second dataset including data representative of an orientation of targeting electromagnetic energy from a second optical energy source alignable with the first optical energy source;

determining data representative of a location of a target area at least partially based on one or more of the first dataset and the second dataset; and

providing a first output to a first energy source in real time, the first output providing data representative of one or more ablation characteristics for at least partially ablating the target area.

2. The method of claim 1 , wherein the target fluorescent response is a target auto-fluorescent response.

3. The method of claim 1 , wherein the target fluorescent response is from one or more extrinsically provided markers.

4. The method of claim 1 , wherein the first input is from a sensor configured to detect the target fluorescent response.

5. The method of claim 1 , wherein the first input includes data representative of one or more measurements of electromagnetic energy.

6. The method of claim 1 , wherein the first input includes data representative of the target fluorescent response.

7. The method of claim 1 , wherein data representative of the target fluorescent response includes one or more measurements of one or more temporal-spatial locations of the target fluorescent response.

8. The method of claim 1 , wherein the first dataset includes data representative of one or more fluorescence characteristics of one or more constituents of the target area.

9. The method of claim 1 , wherein the first dataset includes data representative of one or more numerical measurements for one or more constituents of the target area.

10. The method of claim 1 , wherein the first dataset includes data representative of excitation energy.

11. The method of claim 1 , wherein the first dataset includes data representative of ablation energy.

12. The method of claim 1 , wherein receiving a first input associated with a first dataset, the first dataset including data representative of a target fluorescent response comprises:

receiving a first data entry associated with the first dataset.

13. The method of claim 1 , further comprising:

accessing the first dataset in response to the first input.

14. The method of claim 13 , wherein receiving a first input associated with a first dataset comprises:

receiving a first request associated with the first dataset.

15. The method of claim 1 , further comprising:

generating the first dataset in response to the first input.

16. The method of claim 15 , wherein the first input is from a sensor configured to detect the target fluorescent response.

17. The method of claim 1 , further comprising:

determining a graphical illustration of the first dataset.

18. The method of claim 17 , wherein determining a graphical illustration of the first dataset comprises:

performing an analysis of one or more elements of the first dataset to determine the location of the target area; and

determining the graphical illustration based on the analysis.

19. The method of claim 17 , wherein determining a graphical illustration of the first dataset comprises:

performing an analysis of one or more elements of the first dataset to determine the location of the target area; and

determining the graphical illustration including data representative of one or more measurements of electromagnetic energy in association with a visual indicator related to the location of the target area.

20. The method of claim 17 , wherein determining a graphical illustration of the first dataset comprises:

performing an analysis of one or more elements of the first dataset to determine the location of the target area; and

determining the graphical illustration including data representative of one or more measurements of one or more temporal-spatial locations of the target fluorescent response in association with a visual indicator related to the location of the target area.

21. The method of claim 17 , wherein determining a graphical illustration of the first possible dataset comprises:

performing an analysis of one or more elements of the first dataset to determine the location of the target area; and

determining the graphical illustration including data representative of one or more characteristics of ablation energy in association with a visual indicator related to the location of the target area.

22. The method of claim 17 , wherein determining a graphical illustration of the first dataset comprises:

determining the graphical illustration of a first outcome based on use of ablation energy having one or more characteristics.

23. The method of claim 1 , wherein providing a first output to a first energy source in real time comprises:

sending the first output to the first energy source.

24. The method of claim 23 , wherein the first output to the first energy source comprises:

sending a first instruction associated with the first dataset to the first energy source, the first instruction containing data representative of one or more measurements of electromagnetic energy.

25. The method of claim 23 , wherein the first output to the first energy source comprises:

sending a first instruction associated with the first dataset to the first energy source, the first instruction containing data representative of one or more measurements of target fluorescent energy.

26. The method of claim 23 , wherein the first output to the first energy source comprises:

sending a first instruction associated with the first dataset to the first energy source, the first instruction containing data representative of one or more characteristics of ablation energy.

27. The method of claim 23 , wherein the first output to the first energy source comprises:

sending a first instruction associated with the first dataset to the first energy source, the first instruction containing data representative of one or more characteristics of targeting energy.

28. The method of claim 23 , wherein the first output to the first energy source comprises:

sending a first instruction associated with the first dataset to the first energy source, the first instruction containing data representative of the location of the target area to be at least partially ablated.

29. The method of claim 1 , wherein the first energy source is an electromagnetic energy source.

30. The method of claim 1 , wherein the first energy source is a charged particle source.

31. The method of claim 1 , wherein the first output includes data representative of one or more characteristics of ablation energy for at least partially ablating the target area.

32. The method of claim 1 , wherein the first output includes targeting data for at least partially ablating the target area.

33. The method of claim 1 , wherein the first output includes data representative of the location of the target area to be at least partially ablated.

34. The method of claim 1 , wherein providing a first output to a first energy source in real time, the first output providing data representative of one or more ablation characteristics for at least partially ablating the target area comprises:

sending the first output to the first targeting energy source in real time, the first output providing data representative of the one or more ablation characteristics for at least partially ablating the target area.

35. The method of claim 1 , further comprising:

determining data representative of one or more characteristics of excitation energy for inducing the target fluorescent response.

36. The method of claim 35 , wherein the excitation energy is electromagnetic energy.

37. The method of claim 35 , wherein the one or more characteristics of the excitation energy include strength of the excitation energy.

38. The method of claim 35 , wherein the one or more characteristics of the excitation energy include one or more wavelengths of the excitation energy.

39. The method of claim 35 , wherein the one or more characteristics of the excitation energy include one or more spatial parameters of the excitation energy.

40. The method of claim 35 , wherein the one or more characteristics of the excitation energy include one or more directional parameters of the excitation energy.

41. The method of claim 35 , wherein the one or more characteristics of the excitation energy are selected from the group consisting of manual, programmable, automatic, remote-controlled, and feedback-controlled.

42. The method of claim 1 , further comprising:

determining data representative of one or more characteristics of ablation energy for at least partially ablating the target area.

43. The method of claim 42 , determining data representative of the one or more characteristics of the ablation energy for at least partially ablating the target area, wherein the one or more characteristics of the ablation energy are selected to optimally ablate the target area while minimizing ablation outside the target area.

44. The method of claim 1 , further comprising:

receiving a third input associated with a third dataset, the third dataset including data representative of a second target fluorescent response following at least partial ablation of the target area; and

determining data representative of one or more characteristics of ablation energy for further ablating the target area at least partially based on the third dataset.

45. The method of claim 1 , further comprising:

receiving a third input associated with a third dataset, the third dataset including data representative of a fluorescent response; and

determining data representative of one or more characteristics of excitation energy for inducing the target fluorescent response at least partially based on the third dataset.

46. A computer program product comprising:

a non-transitory signal bearing medium bearing

at least one of one or more instructions for receiving a first input associated with a first dataset, the first dataset including data representative of a target fluorescent response;

at least one of one or more instructions for receiving a second input associated with a second dataset, the second dataset including data representative of an orientation of targeting electromagnetic energy from a second optical energy source alignable with the first optical energy source;

at least one of one or more instructions for determining data representative of a location of a target area at least partially based on one or more of the first dataset and the second dataset; and

at least one of one or more instructions for providing a first output to a first energy source in real time, the first output providing data representative of one or more ablation characteristics for at least partially ablating the target area.

47. The computer program product of claim 46 , further comprising:

one or more instructions for accessing the first dataset in response to the first input.

48. The computer program product of claim 46 , further comprising:

one or more instructions for generating the first dataset in response to the first input.

49. The computer program product of claim 46 , further comprising:

one or more instructions for determining a graphical illustration of the first dataset.

50. The computer program product of claim 46 , further comprising:

one or more instructions for sending the first output associated with the first dataset.

51. The computer program product of claim 46 , further comprising:

one or more instructions for determining data representative of one or more characteristics of excitation energy for inducing the target fluorescent response.

52. The computer program product of claim 46 , further comprising:

one or more instructions for determining data representative of one or more characteristics of ablation energy for at least partially ablating the target area.

53. The computer program product of claim 46 , further comprising:

one or more instructions for receiving a third input associated with a third dataset, the third dataset including data representative of a second target fluorescent response following at least partial ablation of the target area; and

one or more instructions for determining data representative of one or more characteristics of ablation energy for further ablating the target area at least partially based on the third dataset.

54. The computer program product of claim 46 , further comprising:

one or more instructions for receiving a third input associated with a third dataset, the third dataset including data representative of a fluorescent response; and

one or more instructions for determining data representative of one or more characteristics of excitation energy for inducing the target fluorescent response at least partially based on the third possible dataset.

55. The computer program product of claim 46 , wherein the non-transitory signal bearing medium includes a non-transitory computer-readable medium.

56. The computer program product of claim 46 , wherein the non-transitory signal bearing medium includes a non-transitory recordable medium.

57. The computer program product of claim 46 , wherein the non-transitory signal bearing medium includes a non-transitory communications medium.

58. A system comprising:

a computing device including a non-transitory signal bearing medium; and

one or more instructions that when executed on the computing device cause the computing device to receive a first input associated with a first dataset, the first dataset including data representative of a target fluorescent response;

one or more instructions that when executed on the computing device cause the computing device to receive a second input associated with a second dataset, the second dataset including data representative of an orientation of targeting electromagnetic energy from a second optical energy source alignable with the first optical energy source;

one or more instructions that when executed on the computing device cause the computing device to determine data representative of a location of a target area at least partially based on one or more of the first dataset and the second dataset; and

one or more instructions that when executed on the computing device cause the computing device to provide a first output to a first energy source in real time, the first output providing data representative of one or more ablation characteristics for at least partially ablating the target area.