System and method for observing an object in a blood vessel

1. A method for creating a virtual 2D image of a single object moving in a blood vessel to determine a velocity of said single object comprising the steps of:

acquiring multiple 1D images across a blood vessel disposed about adjacent to a substantially fixed footprint on a surface of an organ over a period of time by use of an adaptive optics scanning light ophthalmoscope (AOSLO) or a scanning light ophthalmoscope (SLO) imaging apparatus capable of acquiring 1D images, said substantially fixed footprint defining a line disposed in a plane about parallel to the surface of the organ, said line in said plane about perpendicular to the blood vessel, said imaging apparatus communicatively coupled to a computer;

combining by computer said multiple 1D images to form a virtual 2D image showing said single object moving in said blood vessel;

determining a velocity of a single object moving in said blood vessel from said virtual 2D image by said computer using an elongation ratio based on a known physical width of said single object and a distance as a single object width per time as determined from a subset of said multiple 1D images; and

wherein a first axis of said single object falls along a 1D scan line to provide a representation of a physical length which is substantially independent of single object velocity and a second axis of said single object in said virtual 2D image provides a measurement of an elongation of the object which is directly related to the velocity of the object traveling through the blood vessel across said 1D scan line.

2. The method of claim 1 , further including repeating said step of determining a velocity of an object moving in said blood vessel from said virtual 2D image for additional single objects.

3. The method of claim 1 , wherein said method is repeated at two or more different substantially fixed 1D footprints so as not to exceed a pre-determined exposure limit.

4. The method of claim 1 , further comprising one or more additional imagers and wherein said step of acquiring multiple 1D images comprises acquiring multiple 1D images simultaneously from multiple imagers over a period of time of said substantially fixed footprint on said surface of said organ and said step of combining by computer comprises combining by computer said multiple 1D images from said multiple imagers to identify a type of object of said single object.

5. The method of claim 1 , further comprising one or more additional imagers and wherein said step of acquiring multiple 1D images comprises acquiring multiple 1D images from multiple imagers over a period of time, of two or more substantially fixed footprints on said surface of said organ, and said step of combining by computer comprises combining by computer said multiple 1D images from said two or more substantially fixed footprints on said surface of said organ to form two or more virtual 2D images showing said single object moving in said blood vessel.

6. The method of claim 5 , further comprising after said step of combining by computer said multiple 1D images, performing a spatio-temporal cross correlation between at least two of said two or more virtual 2D images.

7. The system of claim 1 , wherein said system is configured such that light returned from said substantially fixed location on said surface is directed to a detector selected from the group consisting of fluorescence, long wavelength, mid wavelength, short wavelength, forward scatter, back scatter and birefringence, and wherein said adaptive optics scanning light ophthalmoscope (AOSLO) or said scanning light ophthalmoscope (SLO) comprises at least one beam splitter configured to direct light returned from said substantially fixed location on said surface simultaneously to two or more detectors to provide a real-time cell class detection apparatus, and further comprising the step of determining an object type from a single measurement or from simultaneous measurements made by at least two different detectors.

8. The method of claim 7 , further comprising a real-time cell class detection apparatus, wherein successive 1D line scan techniques are used to modulate a laser in such a way as to temporally target and conduct photolysis of undesirable classes.

9. The method of claim 8 , wherein said undesirable classes comprise a sub-cell class selected from the group consisting of malignant cells, bacteria, and foreign bodies.