Abstract: In exemplary implementations, this invention comprises apparatus for retinal self-imaging. Visual stimuli help the user self-align his eye with a camera. Bi-ocular coupling induces the test eye to rotate into different positions. As the test eye rotates, a video is captured of different areas of the retina. Computational photography methods process this video into a mosaiced image of a large area of the retina. An LED is pressed against the skin near the eye, to provide indirect, diffuse illumination of the retina. The camera has a wide field of view, and can image part of the retina even when the eye is off-axis (when the eye's pupillary axis and camera's optical axis are not aligned). Alternately, the retina is illuminated directly through the pupil, and different parts of a large lens are used to image different parts of the retina. Alternately, a plenoptic camera is used for retinal imaging.

Abstract: An exemplary embodiment of the present invention provides GUI sharing method. The method comprises opening an application on a first CPU, the application creating a GUI on the display of the CPU, and providing access to the GUI to a user of a second CPU. In some embodiments of the present invention, providing access to the GUI to a user of the second CPU comprises dragging the GUI to an edge of a display of the first CPU. In some embodiments of the present invention, providing access to the GUI to a user of the second CPU results in the GUI being displayed on a display of the second CPU.

Abstract: According to one embodiment of this disclosure, a method is provided that includes obtaining mole image information; detecting a particular mole from among the one or more moles based on the mole image information to provide particular mole image information; obtaining mole diameter information; analyzing the particular mole image information to determine (i) whether the particular mole is substantially asymmetrical, (ii) whether a border of the particular mole is substantially circular, and (iii) whether the particular mole comprises one or more substantially different colors to provide asymmetry, border, and color (ABC) analysis data; analyzing the mole diameter information to determine whether an estimated diameter of the particular mole exceeds a predetermined threshold to provide diameter (D) analysis data; and generating a plurality of melanoma risk assessments for the particular mole based on at least the ABC analysis data and the D analysis data.

Abstract: In exemplary implementations, this invention comprises apparatus for retinal self-imaging. Visual stimuli help the user self-align his eye with a camera. Bi-ocular coupling induces the test eye to rotate into different positions. As the test eye rotates, a video is captured of different areas of the retina. Computational photography methods process this video into a mosaiced image of a large area of the retina. An LED is pressed against the skin near the eye, to provide indirect, diffuse illumination of the retina. The camera has a wide field of view, and can image part of the retina even when the eye is off-axis (when the eye's pupillary axis and camera's optical axis are not aligned). Alternately, the retina is illuminated directly through the pupil, and different parts of a large lens are used to image different parts of the retina. Alternately, a plenoptic camera is used for retinal imaging.