Microscopic urine analysis can help humans detect many problems and diseases in the body. Traditional microscopic urine analysis is time consuming and subjective, so computer-assisted automated microscopy can help overcome these problems. Urine crystallization can be used as an important criterion for the diagnosis of human kidney stones. This paper introduces an integrated method for the detection and identification of crystalline components in urine microscopic particles, in which crystalline particles, red blood cells, white blood cells, epithelial cells, and tubular cell samples are used in this experiment. Firstly, the canny operator is used to detect and locate the particles, and then use the MRF segmentation to extract the strong texture structure of the target object, so as to facilitate the extraction of subsequent recognition features. A new shape feature is proposed, the Sector statistical Fourier descriptor, combined with the corner feature and the circularity feature to form the feature vector for the SVM classifier. Compared with the Similar work, this paper simplifies the calculation with fewer features, improves the recognition speed, and the recognition accuracy is as high as 97.8%, and the recognition effect is stable.
Graphene is an emerging transparent conductor that plays a potential role in organic optoelectronic device. Here we
report the fabrication of a polymer light emitting diode employing graphene as anode by solution process. The
hydrophobic graphene on PET substrate is modified through interface engineering to obtain a good poly(3,4-
ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) wettability, which yields a composite electrode with low
sheet resistance, high optical transmittance and high work function. The resulting device exhibits good
electroluminescence emission and excellent flexibility, which is attributed to our high quality graphene and satisfying
interfacial modification. Such polymer light emitting diode employing this green and smart graphene composite anode
will promote the development of organic electroluminescent and photovoltaic devices toward a flexible and wearable
era.
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