Interference light source optimization experimental device and method for cell activity detection

Abstract

The invention discloses an interference light source optimization experimental device and method for cell activity detection. A vertical first stepping electrode drives a nut and a nut seat to move upand down through a lead screw shaft, an output shaft of a second stepping motor is vertically downward, penetrates the nut and the nut seat and is coaxially and fixedly connected with a horizontal turntable, 16 turntable hollowed-out holes are circumferentially and uniformly formed in the edge of the surface of the turntable, the diameters of the turntable hollowed-out holes are different, an LED(light-emitting diode) light source is constantly positioned right above one turntable hollowed-out hole, a light shading cover hollowed-out small hole positioned under the LED light source is formedin the bottom of a light shading cover for the light source, a fixing frame for a device under test is arranged under the light shading cover for the light source, a fixing frame hollowed-out hole isformed in the upper surface of the fixing frame, a glass slide for cells under test is placed at the fixing frame hollowed-out hole, and an image sensor is arranged under the fixing frame hollowed-out hole. An optimal combination is found by a genetic algorithm when light source combinations are optimized, so that an obtained image is clearer.

Description

technical field [0001] The invention relates to the field of cell activity detection, in particular to a technology for detecting cell activity by using a lensless cell image acquisition device, in particular to an optimized experimental method and device for an interference light source of the lensless cell image acquisition device. Background technique [0002] Cell viability detection plays an important role in drug screening, but commonly used detection methods such as trypan blue staining, MTT method, etc., need to add certain chemical reagents, which will have a certain impact on the viability of cells, and cannot Make real-time observations. At present, it has been attempted to use a lensless cell image acquisition device to detect cell activity, and it is found that the shadow image of living cells is different from that of dead cells, so the lensless imaging device can be used in the detection of cell activity, and there is no lens The imaging device has a simple s...

AI Technical Summary

Problems solved by technology

[0002] Cell viability detection plays an important role in drug screening, but commonly used detection methods such as trypan blue staining, MTT method, etc., all need to add certain chemical reagents, which will have a certain impact on the viability of cells, and cannot make real-time observations

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