WebRaman spectroscopy enables nondestructive, label-free imaging with unprecedented molecular contrast, but is limited by slow data acquisition, largely preventing high … WebNov 22, 2024 · Herein we report on a deep-learning method for the removal of instrumental noise and unwanted spectral artifacts in Fourier transform infrared (FTIR) or Raman spectra, especially in automated applications in which a large number of spectra have to be acquired within limited time.
Fast label-free recognition of NRBCs by deep-learning visual …
WebApr 10, 2024 · In a recent report, the automated deep learning-based TL-ResNet101 approach was employed to the analysis of Raman spectral images for identifying HBV infection from plasma (Ali et al. 2024). Deep transfer learning (DTL) was used to identify variations in infected Raman spectra and demonstrated high sensitivity (100%) as well … WebMar 15, 2024 · Laser tweezers Raman spectroscopy Deep learning Bacillus spore classification Metabolic phase identification Single cell level 1. Introduction Spores are a class of metabolically dormant form of bacteria, which can be widely found in each corner of our earth including soil, water, air, and plants. bph iodine
Deep learning data augmentation for Raman …
WebIn this work, we developed a deep learning model to overcome the effects of such variations and classify graphene Raman spectra according to different charge densities and dielectric environments. We consider two approaches: deep learning models and machine learning algorithms to classify spectra with slightly different charge densities or ... WebReview for "An end‐to‐end deep learning approach for Raman spectroscopy classification" Oct 2024. WebApr 10, 2024 · In a recent report, the automated deep learning-based TL-ResNet101 approach was employed to the analysis of Raman spectral images for identifying HBV … bph mri radiology