Algorithm1. Super-resolution algorithm of cell pseudo-color image based on Raman spectrum.

Input: Two-dimensional Raman spectroscopy raw data of size (N + 1) × 1024.

Output: Pseudo-color cell image

1. Select the peak information of the bands in the N measurement points and arrange them in a matrix form according to the measurement points.

2. Normalize the peak information to obtain a grayscale image.

3. Use Retinex enhancement processing on the images.

4. If (size_a < 20) and (size_b < 20) 5. Interpolate to at least 20 6. Use median filtering 7. Put the gray image into the SRCNN   If the pixel size < 320     Use SRCNN to realize the image super-resolution. Until the pixel size is equal to the 320. 8. Use Adaptive Guided filter to smooth the image 9. Use the Jet Index Table to realize the super-resolution pseudo-color imaging