A Deep Learning Model for Spectral Reconstruction of Arrayed Micro-Resonators
Miniaturized spectrometers employing photonic crystal cavity arrays in conjunction with computational reconstruction have gained attention as effective tools for spectral analysis. Nevertheless, achieving an optimal balance among spectral resolution, detection range, and device compactness remains c...
Saved in:
| Main Authors: | Xinyi Zhou, Cheng Zhang, Zhenyu Zheng, Hongbin Li, Chao Peng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Photonics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-6732/12/5/449 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Single Waveguide Spectrometer via Defect Scattering
by: Xue Tong, et al.
Published: (2025-01-01) -
High-Sensitivity, High-Resolution Miniaturized Spectrometers for Ultraviolet to Near-Infrared Using Guided-Mode Resonance Filters
by: Jingjun Wu, et al.
Published: (2024-11-01) -
Advances in Miniaturized Computational Spectrometers
by: Qian Xue, et al.
Published: (2024-12-01) -
Parallel Dictionary Reconstruction and Fusion for Spectral Recovery in Computational Imaging Spectrometers
by: Hongzhen Song, et al.
Published: (2025-07-01) -
High-Density Arrayed Spectrometer with Microlens Array Grating for Multi-Channel Parallel Spectral Analysis
by: Fangyuan Zhao, et al.
Published: (2025-08-01)