Deep learning meets hyperspectral image analysis: A multidisciplinary review

A Signoroni, M Savardi, A Baronio, S Benini - Journal of imaging, 2019 - mdpi.com
Modern hyperspectral imaging systems produce huge datasets potentially conveying a great
abundance of information; such a resource, however, poses many challenges in the …

Machine learning enhances the performance of bioreceptor-free biosensors

KE Schackart III, JY Yoon - Sensors, 2021 - mdpi.com
Since their inception, biosensors have frequently employed simple regression models to
calculate analyte composition based on the biosensor's signal magnitude. Traditionally …

[HTML][HTML] Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning

CS Ho, N Jean, CA Hogan, L Blackmon… - Nature …, 2019 - nature.com
Raman optical spectroscopy promises label-free bacterial detection, identification, and
antibiotic susceptibility testing in a single step. However, achieving clinically relevant speeds …

Deep learning for biospectroscopy and biospectral imaging: state-of-the-art and perspectives

H He, S Yan, D Lyu, M Xu, R Ye, P Zheng, X Lu… - 2021 - ACS Publications
With the advances in instrumentation and sampling techniques, there is an explosive growth
of data from molecular and cellular samples. The call to extract more information from the …

Digital staining in optical microscopy using deep learning-a review

L Kreiss, S Jiang, X Li, S Xu, KC Zhou, KC Lee… - PhotoniX, 2023 - Springer
Until recently, conventional biochemical staining had the undisputed status as well-
established benchmark for most biomedical problems related to clinical diagnostics …

Opportunities of optical and spectral technologies in intraoperative histopathology

C Krafft, J Popp - Optica, 2023 - opg.optica.org
Modern optical and spectral technologies represent powerful approaches for a molecular
characterization of tissues enabling delineating pathological tissues but also a label-free …

Molecular mechanism of antimicrobial activity of chlorhexidine against carbapenem-resistant Acinetobacter baumannii

D Biswas, M Tiwari, V Tiwari - PloS one, 2019 - journals.plos.org
Acinetobacter baumannii causes hospital-acquired infections, especially in those with
impaired immune function. Biocides or disinfectants are widely used antibacterial agents …

A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell …

H Yang, X Li, S Zhang, Y Li, Z Zhu, J Shen… - … Acta Part A: Molecular …, 2023 - Elsevier
Among the most frequently diagnosed cancers in developing countries, esophageal
squamous cell carcinoma (ESCC) ranks among the top six causes of death. It would be …

Metasurface-enhanced infrared spectroscopy in multiwell format for real-time assaying of live cells

SH Huang, G Sartorello, PT Shen, C Xu, O Elemento… - Lab on a Chip, 2023 - pubs.rsc.org
Fourier transform infrared (FTIR) spectroscopy is a popular technique for the analysis of
biological samples, yet its application in characterizing live cells is limited due to the strong …

Multi-contrast digital histopathology of mouse organs using quantitative phase imaging and virtual staining

E Min, N Aimakov, S Lee, S Ban, H Yang… - Biomedical Optics …, 2023 - opg.optica.org
Quantitative phase imaging (QPI) has emerged as a new digital histopathologic tool as it
provides structural information of conventional slide without staining process. It is also …