Portable cell imaging and intelligent analysis system based on edge calculation
A technology of intelligent analysis and edge computing, applied in the field of cell detection and analysis in medicine and biology, it can solve the problems of inability to achieve simultaneous data analysis, separation of imaging and analysis modules, and inability to meet complex operations, so as to improve generalization capabilities. , easy to move, light weight effect
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Embodiment 1
[0047] This embodiment provides a portable cell imaging and intelligent analysis system, figure 1 It is the appearance structure diagram of the system, and its externally visible parts include an image display device 11, a housing 12, an illumination device 13, an object carrying device 14, an object moving device 15 for controlling the horizontal movement of the object carrying device 14, and a handle 16, switch 17. The image display device 11 displays real-time cell images and cell analysis results and provides users with multiple operation options. The image display device 11 can also be used to control the brightness of the lighting device 13 and the height of the object-carrying device 14 .
[0048] figure 2 for figure 1 The diagram of the internal optical components used for imaging, mainly including the lighting device 13 arranged in order from top to bottom, the collimator 21 used for collimating the light source, and the slide glass 22 equipped with the sample to b...
Embodiment 2
[0058] Using the system provided in Example 1, inject the processed different cell suspensions to be tested into slides and place them on the loading device, start the system, adjust the displacement stage and the loading moving device until the image display device displays a clear image. The state of the cell can be observed and the state information of the cell can be obtained.
[0059] Figure 4 Shown are low concentrations (1.9 × 10 6 / mL) sample condition, the recognition effect of HEK293 cells; Figure 5 Shown at high concentrations (9.8×10 6 / mL) cell recognition effect under sample conditions. Among them, live cells and dead cells are distinguished according to the color of the rectangular frame: figure 1 The number of live cells was 463, and the number of dead cells was 33; figure 2 The number of live cells was 2278, and the number of dead cells was 9. Depend on figure 1 with figure 2 The identification results can show that under different cell density con...
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