A review of pharmaceutical robot based on hyperspectral technology

X Su, Y Wang, J Mao, Y Chen, AT Yin, B Zhao… - Journal of intelligent & …, 2022 - Springer
The quality and safety of medicinal products are related to patients' lives and health.
Therefore, quality inspection takes a key role in the pharmaceutical industry. Most of the …

Recent developments in spontaneous Raman imaging of living biological cells

B Durrant, M Trappett, D Shipp, I Notingher - Current opinion in chemical …, 2019 - Elsevier
Raman spectroscopy is a non-invasive optical technique for measuring chemical information
from samples including biological cells. With its high sensitivity and compatibility with in vitro …

High-throughput mass spectrometry imaging with dynamic sparse sampling

H Hu, D Helminiak, M Yang, D Unsihuay… - ACS Measurement …, 2022 - ACS Publications
Mass spectrometry imaging (MSI) enables label-free mapping of hundreds of molecules in
biological samples with high sensitivity and unprecedented specificity. Conventional MSI …

On-the-fly Raman microscopy guaranteeing the accuracy of discrimination

K Tabata, H Kawagoe, JN Taylor… - Proceedings of the …, 2024 - National Acad Sciences
Accelerating the measurement for discrimination of samples, such as classification of cell
phenotype, is crucial when faced with significant time and cost constraints. Spontaneous …

Rapid Intracellular Detection and Analysis of Lipid Droplets' Morpho-Chemical Composition by Phase-Guided Raman Sampling

H Zhang, J Fang, Y Dai, Y Pan, K Chu… - Analytical …, 2023 - ACS Publications
Intracellular lipid droplets (LDs) are dynamic, complex organelles involved in nearly all
aspects of cellular metabolism. In situ characterization methods are primarily limited to …

Deep learning-based protocols to enhance infrared imaging systems

K Falahkheirkhah, K Yeh, S Mittal, L Pfister… - Chemometrics and …, 2021 - Elsevier
Infrared (IR) spectroscopic imaging provides both morphologic and chemical detail;
however, obtaining this extensive spectral-spatial information requires the ability to rapidly …

Spectral classification by generative adversarial linear discriminant analysis

Z Cao, S Zhang, Y Liu, CJ Smith, AM Sherman… - Analytica Chimica …, 2023 - Elsevier
Generative adversarial linear discriminant analysis (GALDA) is formulated as a broadly
applicable tool for increasing classification accuracy and reducing overfitting in …

Correction for Extrinsic Background in Raman Hyperspectral Images

JN Taylor, A Pélissier, K Mochizuki… - Analytical …, 2023 - ACS Publications
Raman hyperspectral microscopy is a valuable tool in biological and biomedical imaging.
Because Raman scattering is often weak in comparison to other phenomena, prevalent …

Fast Raman imaging through the combination of context-aware matrix completion and low spectral resolution

Z Jiang, X Wang, K Chu, ZJ Smith - Analyst, 2023 - pubs.rsc.org
Raman hyperspectral imaging is an effective method for label-free imaging with chemical
specificity, yet the weak signals and correspondingly long integration times have hindered …

Selective-sampling Raman imaging techniques for ex vivo assessment of surgical margins in cancer surgery

MG Lizio, R Boitor, I Notingher - Analyst, 2021 - pubs.rsc.org
One of the main challenges in cancer surgery is to ensure the complete excision of the
tumour while sparing as much healthy tissue as possible. Histopathology, the gold-standard …