A fast three-dimensional color microscopy imaging method based on structured illumination based on Hilbert transform
A structured lighting and microscopic imaging technology, which is applied in microscopes, image analysis, image data processing, etc., can solve the problems of large amount of time-consuming storage and processing and large amount of data collection, so as to improve the speed of image processing, expand the scope of application, The effect of reducing the amount of image acquisition
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Embodiment 1
[0080] In order to verify the accuracy of the HT-COS method, pollen samples with autofluorescence (405nm excitation wavelength) were selected for experiments. Replace the 50:50 beamsplitter with a 425nm longpass dichroic mirror with a 405nm violet LED light source. At each focal plane of the sample, three original structured illumination images with a phase shift difference of 2π / 3 and two original structured illumination images with a phase shift difference of π were collected with an exposure time of 20ms, and the HSV-RMS algorithm and this Invented HT-COS algorithm for processing, the experimental results are as follows Figure 4 shown. Figure 4 (a) is the three-dimensional color light slice image processed by the HSV-RMS algorithm, Figure 4(b) is the result after processing by HT-COS algorithm. Obviously, there is no essential difference in the image restoration quality of the two algorithms, and the color restoration degree is basically the same. However, the "claw"...
Embodiment 2
[0083] The original animal star sand in the ocean was imaged, and the original image was processed using the HSV-RMS algorithm and the HT-COS algorithm respectively. The results are as follows: Figure 5 shown. Figure 5 (a) is the maximum projection image of the star sand sample, taken with a 10X, NA0.45 objective lens, and stitched together 16 fields of view; Figure 5 (b-c) The field of view shown in the red box in (a) was shot with a 10X, NA0.45 objective lens, a total of 344 layers were shot, the layer spacing was 500nm, and the image size was 2048x2048 pixels; Figure 5 (b) is the original structured illumination image of the 64th layer of the sample; Figure 5 (c) A color wide-field image of the striped layer 64 of the sample; Figure 5 (d) is the maximum projection result reconstructed by the color SIM optical slice algorithm based on the HSV-RMS algorithm for all 344 layers of the field of view of the sample, and a total of 1032 original images were collected; Fig...
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