Micro-pore spectrometer and spectral reconstruction method
A micro-hole and spectrometer technology, applied in the field of spectroscopy, to achieve low price, high diffraction efficiency, and increase the amount of incoming light
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0039] Embodiment 1 verifies the validity of the present invention when performing spectrum measurement. Utilize the present invention to carry out the measurement result of spectrum measurement such as figure 2 shown. In this real-time example, figure 2 a is the micro-hole in the spectrometer, figure 2 The size of a is 1.024×1.024mm. figure 2 b is the structure diagram of the spectrometer, the distance between the microhole and the CCD in the spectrometer is 1cm. The number of CCD arrays is 256×256 pixels, and the size of each pixel is 4 μm. figure 2 d and figure 2 The solid lines in f represent two spectral curves to be measured. figure 2 c and figure 2 e is the diffraction pattern corresponding to the two spectra to be measured respectively. We have two diffraction patterns ( figure 2 In c and 2e), 300 pixels are respectively selected to construct the equation system. By solving the system of equations, the spectral curves were reconstructed. figure 2 d...
Embodiment 2
[0041] Example 2 demonstrates the resolution of the spectrometer. Such as image 3 a and image 3 The green line part in b is the two spectra to be measured. The two spectra have a peak at 2nm and 4nm, respectively. Use this spectrum to measure the above two spectra, the measurement results are as follows image 3 c and image 3 shown in d. We can see that the two 2nm and 4nm peaks can be clearly seen in the reconstruction results.
Embodiment 3
[0043] Example 3 demonstrates the anti-noise performance of the reconstruction algorithm of the present invention. In this noise immunity test, the figure 2 The spectrum in a is used as the spectrum to be measured. The diffraction pattern of the spectrum measured in embodiment 3 obtains by following equation simulation:
[0044]
[0045] Here ε rand,i is a random number, which obeys the normal distribution with variance σ=0.1. We are looking at the diffraction pattern figure 2 In c, 360 pixels were selected to construct the equation set to reconstruct the spectrum. When the noise SNR=96db, the reconstructed spectrum agrees very well with the original spectrum (such as Figure 4 shown in a). When SNR=90db, the error between the reconstructed spectrum and the original spectrum is very small (such as Figure 4 shown in b). When SNR=85db, the error of the reconstruction result increases, and the reconstruction result is still good although there are some noises (such ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More - R&D
- Intellectual Property
- Life Sciences
- Materials
- Tech Scout
- Unparalleled Data Quality
- Higher Quality Content
- 60% Fewer Hallucinations
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com



