Abstract: A system for spatially mapping neurons in brain tissue is disclosed which includes a source of light configured to be shone on a subject at a first wavelength causing emission of light at a second wavelength from generating calcium when one or more neurons are firing, an optical filter configured to allow passage of light having the second wavelength, an image capture device configured to capture images of the brain tissue at the second wavelength, and a processor with software configured to establish a spatial model for localizing one or more neurons where captured images are used to iteratively adjust parameters of the model to thereby minimize error between generated and captured images.

Abstract: A method for identifying a source of florescence is disclosed which includes shining light on a subject at a first wavelength, causing emission of light at a second wavelength from the source of fluorescence, filtering out light at the first wavelength, capturing at least one 2 dimensional (2D) image of a subject having a plurality of pixels at the second wavelength, and establishing information about approximate location of a source of florescence within a tissue of the subject, selectively generating a 3D geometric model where the model is adapted to provide a model representation of the at least one 2D captured image, comparing the modeled at least one 2D captured image to the captured at least one 2D image and iteratively adjusting the model to minimize the difference, and outputting location and geometric configuration of the source of fluorescence within the tissue within the region of interest.

Abstract: A system for spatially mapping neurons in brain tissue is disclosed which includes a source of light configured to be shone on a subject at a first wavelength causing emission of light at a second wavelength from generating calcium when one or more neurons are firing, an optical filter configured to allow passage of light having the second wavelength, an image capture device configured to capture images of the brain tissue at the second wavelength, and a processor with software configured to establish a spatial model for localizing one or more neurons where captured images are used to iteratively adjust parameters of the model to thereby minimize error between generated and captured images.

Abstract: A method for identifying a source of florescence is disclosed which includes shining light on a subject at a first wavelength, causing emission of light at a second wavelength from the source of fluorescence, filtering out light at the first wavelength, capturing at least one 2 dimensional (2D) image of a subject having a plurality of pixels at the second wavelength, and establishing information about approximate location of a source of florescence within a tissue of the subject, selectively generating a 3D geometric model where the model is adapted to provide a model representation of the at least one 2D captured image, comparing the modeled at least one 2D captured image to the captured at least one 2D image and iteratively adjusting the model to minimize the difference, and outputting location and geometric configuration of the source of fluorescence within the tissue within the region of interest.