Deep learning meets hyperspectral image analysis: A multidisciplinary review
Modern hyperspectral imaging systems produce huge datasets potentially conveying a great
abundance of information; such a resource, however, poses many challenges in the …
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 …
calculate analyte composition based on the biosensor's signal magnitude. Traditionally …
[HTML][HTML] Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
Raman optical spectroscopy promises label-free bacterial detection, identification, and
antibiotic susceptibility testing in a single step. However, achieving clinically relevant speeds …
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
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 …
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
Until recently, conventional biochemical staining had the undisputed status as well-
established benchmark for most biomedical problems related to clinical diagnostics …
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 …
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 …
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 …
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
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 …
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
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 …
provides structural information of conventional slide without staining process. It is also …