Abstract: A low-insertion-loss piezoelectric acoustic wave band-pass filter and a realization method thereof are disclosed. The realization method includes: using one first kind of piezoelectric acoustic wave resonator to constitute a series branch; using one second kind of piezoelectric acoustic wave resonator to constitute a parallel branch with a ground terminal; connecting any end of the series branch with a non-ground terminal of the parallel branch to form an acoustic wave band-pass filter unit; and cascading a plurality of acoustic wave band-pass filter units; wherein an impedance value at a series resonant frequency of the first kind of piezoelectric acoustic wave resonator is less than that of the second kind of piezoelectric acoustic wave resonator; and an impedance value at a parallel resonant frequency of the first kind of piezoelectric acoustic wave resonators is less than that of the second kind of piezoelectric acoustic wave resonator.

Abstract: The disclosure provides a device and a method for performing morphological analysis for erythrocytes, wherein the method for performing morphological analysis for erythrocytes comprises: collecting a morphological image of each of cells in a sample through a Charge Coupled Device (CCD) after amplifying the sample through an automatic microscope; segmenting and positioning the image and extracting target feature parameters after digitizing the image through an image-digital converter; isolating morphological feature parameters of each of the erythrocytes through a classifier established on the basis of the neural network, and normalizing each type of the morphological feature parameters of the erythrocytes through a feature fusion device established on the basis of fuzzy clustering; performing a statistical analysis on each type of normalized parameters obtained or performing a comprehensive statistical analysis according to a plurality of types of parameters, and expressing the result of the statistical analy

Abstract: The disclosure provides a device and a method for performing morphological analysis for erythrocytes, wherein the method for performing morphological analysis for erythrocytes comprises: collecting a morphological image of each of cells in a sample through a Charge Coupled Device (CCD) after amplifying the sample through an automatic microscope; segmenting and positioning the image and extracting target feature parameters after digitizing the image through an image-digital converter; isolating morphological feature parameters of each of the erythrocytes through a classifier established on the basis of the neural network, and normalizing each type of the morphological feature parameters of the erythrocytes through a feature fusion device established on the basis of fuzzy clustering; performing a statistical analysis on each type of normalized parameters obtained or performing a comprehensive statistical analysis according to a plurality of types of parameters, and expressing the result of the statistical analy