Deep learning for Raman spectroscopy: a review
R Luo, J Popp, T Bocklitz - Analytica, 2022 - mdpi.com
Raman spectroscopy (RS) is a spectroscopic method which indirectly measures the
vibrational states within samples. This information on vibrational states can be utilized as …
vibrational states within samples. This information on vibrational states can be utilized as …
Computational coherent Raman scattering imaging: breaking physical barriers by fusion of advanced instrumentation and data science
Coherent Raman scattering (CRS) microscopy is a chemical imaging modality that provides
contrast based on intrinsic biomolecular vibrations. To date, endeavors on instrumentation …
contrast based on intrinsic biomolecular vibrations. To date, endeavors on instrumentation …
Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data
R Houhou, T Bocklitz - Analytical Science Advances, 2021 - Wiley Online Library
Artificial intelligence‐based methods such as chemometrics, machine learning, and deep
learning are promising tools that lead to a clearer and better understanding of data. Only …
learning are promising tools that lead to a clearer and better understanding of data. Only …
Weakly supervised identification and localization of drug fingerprints based on label-free hyperspectral CARS microscopy
Understanding drug fingerprints in complex biological samples is essential for the
development of a drug. Hyperspectral coherent anti-Stokes Raman scattering (HS-CARS) …
development of a drug. Hyperspectral coherent anti-Stokes Raman scattering (HS-CARS) …
Vibrational imaging for label-free cancer diagnosis and classification
The first key step in the detection and classification of most cancers is the microscopic
assessment of thin tissue slices, the so-called “histopathology”. This procedure is still …
assessment of thin tissue slices, the so-called “histopathology”. This procedure is still …
Fingerprint multiplex CARS at high speed based on supercontinuum generation in bulk media and deep learning spectral denoising
We introduce a broadband coherent anti-Stokes Raman scattering (CARS) microscope
based on a 2-MHz repetition rate ytterbium laser generating 1035-nm high-energy (≈ µJ …
based on a 2-MHz repetition rate ytterbium laser generating 1035-nm high-energy (≈ µJ …
Full-spectrum CARS microscopy of cells and tissues with ultrashort white-light continuum pulses
Coherent anti-Stokes Raman scattering (CARS) microscopy is an emerging nonlinear
vibrational imaging technique that delivers label-free chemical maps of cells and tissues. In …
vibrational imaging technique that delivers label-free chemical maps of cells and tissues. In …
VECTOR: Very deep convolutional autoencoders for non‐resonant background removal in broadband coherent anti‐Stokes Raman scattering
Z Wang, K O'Dwyer, R Muddiman… - Journal of Raman …, 2022 - Wiley Online Library
Rapid label‐free spectroscopy of biological and chemical specimen via molecular vibration
through means of broadband coherent anti‐Stokes Raman scattering (B‐CARS) could serve …
through means of broadband coherent anti‐Stokes Raman scattering (B‐CARS) could serve …
Deep reinforcement learning control of white-light continuum generation
White-light continuum (WLC) generation in bulk media finds numerous applications in
ultrafast optics and spectroscopy. Due to the complexity of the underlying spatiotemporal …
ultrafast optics and spectroscopy. Due to the complexity of the underlying spatiotemporal …
Removing non-resonant background from broadband CARS using a physics-informed neural network
Broadband coherent anti-Stokes Raman scattering (BCARS) is capable of producing high-
quality Raman spectra spanning broad bandwidths, 400–4000 cm− 1, with millisecond …
quality Raman spectra spanning broad bandwidths, 400–4000 cm− 1, with millisecond …