We experimentally implement a compressive Raman technology (CRT) that incorporates chemometric analysis directly into the spectrometer hardware by means of a digital micromirror device (DMD). The DMD is a programmable optical filter on which optimized binary filters are displayed. The latter are generated with an algorithm based on the Cramer-Rao lower bound. We compared the developed CRT microspectrometer with two conventional state-of-the-art Raman hyperspectral imaging systems on samples mimicking microcalcifications relevant for breast cancer diagnosis. The CRT limit of detection significantly improves, when compared to the CCD based system, and CRT ultimately allows 100× and 10× faster acquisition speeds than the CCD- and EMCCD-based systems, respectively.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1021/acs.analchem.7b05303 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Inulin biopolymer as a novel material for sustainable soil stabilization.
Sci Rep
December 2024
Geotechnical Institute, TU Bergakademie Freiberg, Freiberg, Germany.
The development of new urban areas necessitates building on increasingly scarce land, often overlaid on weak soil layers. Furthermore, climate change has exacerbated the extent of global arid lands, making it imperative to find sustainable soil stabilization and erosion mitigation methods. Thus, scientists have strived to find a plant-based biopolymer that favors several agricultural waste sources and provides high strength and durability for sustainable soil stabilization.
View Article and Find Full Text PDFActive Surface-Enhanced Raman Scattering Platform Based on a 2D Material-Flexible Nanotip Array.
Biosensors (Basel)
December 2024
Department of Physics and Quantum Photonics Institute, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea.
Two-dimensional materials with a nanostructure have been introduced as promising candidates for SERS platforms for sensing application. However, the dynamic control and tuning of SERS remains a long-standing problem. Here, we demonstrated active tuning of the enhancement factor of the first- and second-order Raman mode of monolayer (1L) MoS transferred onto a flexible metallic nanotip array.
View Article and Find Full Text PDFKey intermediates and Cu active sites for CO electroreduction to ethylene and ethanol.
Nat Energy
September 2024
Department of Interface Science, Fritz-Haber Institute of the Max-Planck Society, Berlin, Germany.
Electrochemical reduction of CO (CORR) to multi-carbon products is a promising technology to store intermittent renewable electricity into high-added-value chemicals and close the carbon cycle. Its industrial scalability requires electrocatalysts to be highly selective to certain products, such as ethylene or ethanol. However, a substantial knowledge gap prevents the design of tailor-made materials, as the properties ruling the catalyst selectivity remain elusive.
View Article and Find Full Text PDFTo Acquire or Not to Acquire: Evaluating Compressive Sensing for Raman Spectroscopy in Biology.
ACS Sens
December 2024
Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Raman spectroscopy has revolutionized the field of chemical biology by providing detailed chemical and compositional information with minimal sample preparation. Despite its advantages, the technique suffers from low throughput due to the weak Raman effect, necessitating long acquisition times and expensive equipment. This limitation is particularly acute in time-sensitive applications like bioprocess monitoring and dynamic studies.
View Article and Find Full Text PDFUnmixing Autoencoder for Image Reconstruction from Hyperspectral Data.
Anal Chem
December 2024
Research Center for Analytical Sciences, Tianjin Key Laboratory of Biosensing and Molecular Recognition, State Key Laboratory of Medicinal Chemical Biology, College of Chemistry, Nankai University, Tianjin 300071, China.
Due to the complexity of samples and the limitations in spatial resolution, the spectra in hyperspectral imaging (HSI) are generally contributed to by multiple components, making univariate analysis ineffective. Although feature extraction methods have been applied, the chemical meaning of the compressed variables is difficult to interpret, limiting their further applications. An unmixing autoencoder (UAE) was developed in this work for the separation of the mixed spectra in HSI.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!