Automatic blood cell recognition device and operating method thereof
A technology for identifying devices and blood cells, which is used in measurement devices, particle and sedimentation analysis, individual particle analysis, etc., and can solve the problems of difficulty in improving identification accuracy, poor staining, and complex automatic analysis algorithms for blood cells.
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Embodiment 1
[0048] like figure 1 shown.
[0049] An automatic blood cell identification device, comprising a laser light source part, a microscope collection part and a stage part respectively connected to a computer;
[0050] The laser light source part includes a light source control module and a supercontinuum laser light source;
[0051] The microscope acquisition unit includes a near-infrared sensitive photosensitive component, an acousto-optic modulation beam splitter, and a microscope connected in sequence with a computer; under supercontinuum laser irradiation, blood cell slices enter the microscope beam splitter through the objective lens and eyepiece optical path of the microscope, and then The infrared sensitive component realizes imaging, wherein the beam splitter is used to decompose the mixed light into simple light of each band;
[0052] The stage part includes a stage control module and a stage, and the stage control module communicates with a computer through an RS-232 ...
Embodiment 2
[0057] like figure 2 shown.
[0058] A working method of the automatic blood cell identification device as described in embodiment 1, comprising the following steps:
[0059] (1) The hyperspectral image of blood cells acquired by the near-infrared sensitive photosensitive component through a microscope is sent to the computer through a transmission link; the transmission link is Ethernet;
[0060] (2) In order to overcome the dynamic interference, the hyperspectral image obtained by computer is used for electronic phase stabilization operation, the specific process is as follows:
[0061] Step1. Each image is divided into macroblocks, preferably, the size of the macroblocks is 16×16 pixels;
[0062] Step2. Taking the first image as the reference frame, for each macroblock in the first image, in the corresponding search area in each subsequent image, search for the best matching block according to the matching criterion, that is, according to The matching with the smallest ...
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