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 …
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 …
from samples including biological cells. With its high sensitivity and compatibility with in vitro …
High-throughput mass spectrometry imaging with dynamic sparse sampling
Mass spectrometry imaging (MSI) enables label-free mapping of hundreds of molecules in
biological samples with high sensitivity and unprecedented specificity. Conventional MSI …
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 …
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
Intracellular lipid droplets (LDs) are dynamic, complex organelles involved in nearly all
aspects of cellular metabolism. In situ characterization methods are primarily limited to …
aspects of cellular metabolism. In situ characterization methods are primarily limited to …
Deep learning-based protocols to enhance infrared imaging systems
Infrared (IR) spectroscopic imaging provides both morphologic and chemical detail;
however, obtaining this extensive spectral-spatial information requires the ability to rapidly …
however, obtaining this extensive spectral-spatial information requires the ability to rapidly …
Spectral classification by generative adversarial linear discriminant analysis
Generative adversarial linear discriminant analysis (GALDA) is formulated as a broadly
applicable tool for increasing classification accuracy and reducing overfitting in …
applicable tool for increasing classification accuracy and reducing overfitting in …
Correction for Extrinsic Background in Raman Hyperspectral Images
Raman hyperspectral microscopy is a valuable tool in biological and biomedical imaging.
Because Raman scattering is often weak in comparison to other phenomena, prevalent …
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
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 …
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
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 …
tumour while sparing as much healthy tissue as possible. Histopathology, the gold-standard …