Computational spectrometer based on local feature-weighted spectral reconstruction

Article Nanoscience & Nanotechnology

A miniaturized computational spectrometer with optimum number of nanophotonic filters: Deep-learning autoencoding and inverse design-based implementation

Parisa Sadeghli Dizaji et al.

Summary: Computational spectrometers have emerged as a new paradigm for miniaturization, utilizing distinct filters or detectors and deep learning techniques to design optimal spectral responses and filter structures for improved performance.

PHOTONICS AND NANOSTRUCTURES-FUNDAMENTALS AND APPLICATIONS (2022)

Add to Collection

Article Chemistry, Analytical

Irradiance Independent Spectrum Reconstruction from Camera Signals Using the Interpolation Method

Yu-Che Wen et al.

Summary: The paper introduces a method for recovering spectral reflectance using the II-LUT method, proposing an interpolation method for spectral reconstruction. Through experiments with Munsell color chips, it is found that this method can achieve irradiance-independent spectrum reconstruction and save computation time.

SENSORS (2022)

Add to Collection

Article Psychology, Multidisciplinary

Optimized clustering method for spectral reflectance recovery

Yifan Xiong et al.

Summary: This paper proposes an optimized method based on dynamic partitional clustering for the recovery of spectral reflectance from camera response values. The method combines dynamic and static clustering to generate dynamic clustering subspaces, and determines each testing sample as a priori clustering center through competition to obtain the clustering subspace. Euclidean distance weighted and polynomial expansion models are adaptively applied in the clustering subspace to improve the accuracy of spectral recovery. Experimental results demonstrate that the proposed method outperforms existing methods in spectral and colorimetric accuracy, and shows the effectiveness and robustness of spectral recovery accuracy under different color spaces.

FRONTIERS IN PSYCHOLOGY (2022)

Add to Collection

Article Chemistry, Multidisciplinary

Miniaturizing a Chip-Scale Spectrometer Using Local Strain Engineering and Total-Variation Regularized Reconstruction

Tuba Sarwar et al.

Summary: This study demonstrated a wafer-thin chip-scale portable spectrometer based on a reconstructive algorithm, suitable for wearable applications. By applying local strain engineering in InGaN/GaN multiple quantum well heterostructures, 16 spectral encoders were successfully monolithically integrated on a chip area of 0.16 mm2. The use of a non-negative least-squares algorithm achieved decent spectral reconstruction performance in the wavelength range of 400-645 nm.

NANO LETTERS (2022)

Add to Collection

Article Chemistry, Analytical

Spectral Reflectance Recovery from the Quadcolor Camera Signals Using the Interpolation and Weighted Principal Component Analysis Methods

Yu-Che Wen et al.

Summary: This study numerically investigates the recovery of surface spectral reflectance using a quadcolor camera. The results show that using the quadcolor camera can effectively reduce the mean spectral error compared to using a tricolor camera. The interpolation method outperforms the weighted principal component analysis method in spectrum reconstruction. Optical filters can be applied to the fourth channel to reduce the mean spectral error and color difference.

SENSORS (2022)

Add to Collection

Review Multidisciplinary Sciences

Miniaturization of optical spectrometers

Zongyin Yang et al.

Summary: Spectroscopic analysis is widely used in scientific research and industry, and the trend towards miniaturization is crucial for portability and in situ measurements. Advances in microspectrometer technology aim to achieve high performance and small footprint suitable for lab-on-a-chip systems, smartphones, and other consumer technologies, yet face challenges in improving spectral resolution as device dimensions shrink.

SCIENCE (2021)

Add to Collection

Article Materials Science, Multidisciplinary

A Near-Infrared Miniature Quantum Dot Spectrometer

Huiyu Li et al.

Summary: The article introduces the construction of a NIR quantum dot spectrometer using 195 spectra-tunable PbS and PbSe-based NIR quantum dots as filters and a NIR complementary metal-oxide semiconductor as a detector. By controlling key parameters such as colloidal synthesis, ligand exchange, and cation exchange, high-resolution in a wide spectral range is achieved, showing promise in developing compact NIR spectrometers for artificial intelligence technology.

ADVANCED OPTICAL MATERIALS (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Blind Data Detection in Massive MIMO via l3-Norm Maximization Over the Stiefel Manifold

Ye Xue et al.

Summary: In this paper, a novel blind data detection method leveraging channel sparsity and data concentration properties is proposed, which can recover data without channel estimation. Experimental results show that the proposed scheme has superior performance with low computational complexity.

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2021)

Add to Collection

Article Computer Science, Information Systems