Infrared difference spectroscopy of proteins: from bands to bonds
VA Lorenz-Fonfria - Chemical reviews, 2020 - ACS Publications
Infrared difference spectroscopy probes vibrational changes of proteins upon their
perturbation. Compared with other spectroscopic methods, it stands out by its sensitivity to …
perturbation. Compared with other spectroscopic methods, it stands out by its sensitivity to …
Peak fitting applied to fourier transform infrared and raman spectroscopic analysis of proteins
A Sadat, IJ Joye - Applied Sciences, 2020 - mdpi.com
FTIR and Raman spectroscopy are often used to investigate the secondary structure of
proteins. Focus is then often laid on the different features that can be distinguished in the …
proteins. Focus is then often laid on the different features that can be distinguished in the …
Waveguide-enhanced Raman spectroscopy
Waveguide-enhanced Raman spectroscopy (WERS) exploits the electromagnetic
enhancement that can be achieved at the surface of suitably designed waveguides to …
enhancement that can be achieved at the surface of suitably designed waveguides to …
Efficient blind signal reconstruction with wavelet transforms regularization for educational robot infrared vision sensing
Fourier transform infrared (FTIR) imaging spectrometers are often corrupted by the problems
of band overlap and random noise during the infrared spectrum acquisition process. Such …
of band overlap and random noise during the infrared spectrum acquisition process. Such …
Fast blind instrument function estimation method for industrial infrared spectrometers
Infrared (IR) spectrometers, particularly the aging ones, often suffer from the band overlap
and random noise. In this paper, a blind estimation method based on discrete cosine …
and random noise. In this paper, a blind estimation method based on discrete cosine …
The grateful infrared: Sequential protein structural changes resolved by infrared difference spectroscopy
The catalytic activity of proteins is a function of structural changes. Very often these are as
minute as protonation changes, hydrogen bonding changes, and amino acid side chain …
minute as protonation changes, hydrogen bonding changes, and amino acid side chain …
Spectral deconvolution and feature extraction with robust adaptive Tikhonov regularization
Raman spectral interpretation often suffers common problems of band overlap** and
random noise. Spectral deconvolution and feature-parameter extraction are both classical …
random noise. Spectral deconvolution and feature-parameter extraction are both classical …
Dspnet: A lightweight dilated convolution neural networks for spectral deconvolution with self-paced learning
In the fields of industry research, infrared spectrometers are widely used in diverse
applications. However, the spectrum often suffers from band overlap and random noise due …
applications. However, the spectrum often suffers from band overlap and random noise due …
Infrared spectrum resolution enhancement model via Gabor transform regularization for object detection
X Liu, S Li, H Liu, L He, T Liu - Infrared Physics & Technology, 2024 - Elsevier
In this paper, we proposed a novel resolution enhancement model for the unknown
instrument function and infrared spectral signal estimation. The Gabor transform can be …
instrument function and infrared spectral signal estimation. The Gabor transform can be …
Infrared spectrum blind deconvolution algorithm via learned dictionaries and sparse representation
Band overlap and random noise are a serious problem in infrared spectra, especially for
aging spectrometers. In this paper, we have presented a simple method for spectrum …
aging spectrometers. In this paper, we have presented a simple method for spectrum …