Multispectral estimation of retinal photoreceptoral inputs
نویسندگان
چکیده
منابع مشابه
Inputs and Outputs Estimation in Inverse DEA
The present study addresses the following question: if among a group of decision making units, the decision maker is required to increase inputs and outputs to a particular unit in which the DMU, with respect to other DMUs, maintains or improves its current efficiencylevel, how much should the inputs and outputs of the DMU increase? This question is considered as a problem of inverse data envel...
متن کاملVariable-Rate Multispectral Illumination for Retinal Microsurgery: A Critical Review Adaptive Multispectral Illumination for Retinal Microsurgery
Vitreoretinal surgery is undertaken to treat several eye problems involving the retina, macula, and vitreous fluid, and this surgery is considered one of the most difficult to perform. Many eye problems are treated with vitreoretinal surgery including macular degeneration, diabetic retinopathy, and retinal detachment. During vitreoretinal surgery, small implements are inserted into the ocular v...
متن کاملAdaptive Multispectral Illumination for Retinal Microsurgery
It has been shown that excessive white light exposure during retinal microsurgery can induce retinal damage. To address this problem, one can illuminate the retina with a device that alternates between white, and less damaging limited-spectrum light. The surgeon is then presented with a fully colored video by recoloring the limited-spectrum light frames, using information from the white-light f...
متن کاملCone inputs to murine retinal ganglion cells
Responses of single retinal ganglion cells in different areas of mouse retina were studied to determine their cone inputs, using spectral sensitivity functions and chromatic adaptation. Spectral sensitivity curves were based on threshold response criteria to full field stimulation. The retina of the mouse was viewed through a dilated pupil with a surgical microscope. Ganglion cells were classif...
متن کاملMultispectral Image Segmentation for Fruit Quality Estimation
An unsupervised segmentation algorithm based on a multiresolution method is presented. This method uses variational functions as a segmentation criterion. The algorithm has been applied to multispectral images of fruits as a quality assessment application. In addition, due to the unsupervised nature of the procedure, it can be applied to real images in order to test the quality of these results.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Photonics Letters of Poland
سال: 2019
ISSN: 2080-2242
DOI: 10.4302/plp.v11i3.920