Milk somatic cell counting device and method based on intelligent terminal and micro-fluidic chip
A technology of microfluidic chips and milk somatic cells, which is applied in the fields of measuring devices, individual particle analysis, particle and sedimentation analysis, etc., can solve problems such as cumbersome operation steps, color depth dependence, and influence on the reliability of test results, etc., to achieve Low detection cost, easy operation, and easy on-site detection
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example 1
[0077](1) Preparation of staining agent and dilution of milk samples: Add 150uL iodine tincture dropwise to each milliliter of normal saline, invert and mix evenly, and prepare staining agent. Mix the milk sample with the above staining agent at a ratio of 1:19 by volume, and shake it upside down.
[0078] (2) Solution sampling: Add 1uL of the above-mentioned diluted solution dropwise to the injection port of the microfluidic chip, and the observation cavity is filled with the solution to be detected.
[0079] (3) Milk somatic cell imaging: build a microscopic magnification optical path with a double-convex lens, adjust the magnification to 60 times, and use the smartphone camera to clearly image each observation cavity.
[0080] (4) Image and data processing: Call the APP installed on the mobile phone to obtain relevant data such as the concentration of milk somatic cells and the probability of mastitis in dairy cows, and use the network to share the test results.
example 2
[0082] (1) Pretreatment of milk samples. The raw milk sample was diluted 30 times and stained with tincture of iodine, and then 2uL of the sample was added dropwise to the inlet of the microfluidic chip.
[0083] (2) Image enlargement and acquisition. The image sampling area on the microfluidic chip is magnified by using a micro-optical amplification circuit (magnification factor of 100 times), and the camera of the smart terminal is used to take pictures of it.
[0084] (3) Data processing and result display. Using the supporting APP application program, the somatic cells in the image data are counted and processed, and the relevant data such as the concentration of somatic cells and the probability of mastitis in dairy cows are converted, and the detection results are shared through the network.
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