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The reconstructed spectral images can be used for real-time display and analysis. The shapes of fruit can be analyzed by using the reconstructed spectral images, and the change of their color can be determined. As shown in Fig. 4a, a honeybee is taken as an example to analyze. We select a honeybee from a photo of a mature hive and analyze its colors. From Fig. 4b, the reconstructed spectral images of the wings and body of honeybee are calculated, showing the distribution of colors of the honeybee. We can see that the colors of the wings and body are different. This result can be used to distinguish the types of flowers to pollinate. The spectral information of the red flower can be obtained, and the reconstructed spectral images of the red flower are shown in Fig. 4c. Figure 4d shows the distribution of the spectral information of the red flower in the reconstructed image. The color of the red flower can be analyzed, which is useful for the selection of flowers for pollination.
To evaluate the performance of SLIM system, the spectra of a piece of lemon are recorded by a CCD camera with the optical setup and SLIM system mounted on a tabletop (Supplementary Fig. 1). After grayscale conversion, the color images obtained from SLIM system show the spectrum, which is plotted in Fig. 3c. In addition, a spectrum is reconstructed by a preset algorithm to obtain the color image with the results of Fig. 3d. The spectral plot of the green color wavelength (514 nm) is plotted in Fig. 3e. The reconstruct result of spectral plot of the blue color wavelength (627 nm) is shown in Fig. 3f. Figure 3g and 3h show the original single wavelength images of the lemon. The reconstructed ones are shown in Fig. 3i and 3j, respectively. From the reconstruct results, we can see the spectral information at every position in a scene is obtained by using SLIM system. This metalens array can be replaced by a customized optical element that focuses the light into different wavelengths, or can be replaced by another system that performs the same function.
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