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Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis

Source type: conference
Alternate names: Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, Optical Biopsy XXIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, Optical Biopsy XXIV: Toward Real-Time Spectroscopic Imaging and Diagnosis, Optical Biopsy XXII: Toward Real-Time Spectroscopic Imaging and Diagnosis, Optical Biopsy XVI: Toward Real-Time Spectroscopic Imaging and Diagnosis
Fully OA: No
DOAJ: No
OpenAlex ID: S7407115014
Near-infrared deep brain stimulation via upconversion nanoparticle-mediated optogenetics
2019 · Shuo Chen, Xiaogang Liu, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 19
Intra-operative brain tumor detection with deep learning-optimized hyperspectral imaging
2023 · Tommaso Giannantonio, Anna Alperovich, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 18
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Separating fluorescence from Raman spectra using a CMOS SPAD TCSPC line sensor for biomedical applications
2019 · Andrea Usai, Neil Finlayson, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 17
Colorectal cancer detection by hyperspectral imaging using fluorescence excitation scanning
2018 · Silas J. Leavesley, Joshua Deal, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 14
Abnormal tryptophan metabolism in Alzheimer’s disease (ALZ): label-free spectroscopy suggests an alternative theory of ALZ causation
2020 · Laura A. Sordillo, Peter P. Sordillo, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 9
Advances in medical applications using SWIR light in the wavelength range from 1000 to 2500 nm
2019 · Laura A. Sordillo, Lingyan Shi, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 9
A pilot study for distinguishing chromophobe renal cell carcinoma and oncocytoma using second harmonic generation imaging and convolutional neural network analysis of collagen fibrillar structure
2018 · Binlin Wu, Nicolas B. Judd, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 9
Near infrared spectroscopy of human muscles
2018 · Giuseppe Bonifazi, Riccardo Gasbarrone, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 6
Statistical analysis and machine learning algorithms for optical biopsy
2018 · Binlin Wu, Cheng-Hui Liu, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 6
Application of wavelet based MFDFA on Mueller matrix images for cervical pre-cancer detection
2018 · Asima Pradhan, Mohammad Zaffar · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 5
Novel dual-channel configuration of non-contact diffuse reflectance spectroscopy towards assessing the spectral absorption at a depth below 1 mm
2024 · Nafiseh Farahzadi, Daqing Piao, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 4
A high-resolution hyperspectral imaging system for retina imaging
2024 · Minh H. Tran, Michelle D. Bryarly, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 4
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Correlation of metabolites in saliva and in vivo tissue of oral cancer patients based on fluorescence spectral deconvolution
2020 · Raja Pappu, Yuvaraj Manoharan, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 4
A time-resolved near-infrared spectroscopy based on CMOS image sensor
2020 · De Xing Lioe, Masashi Hakamata, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 4
The use of Stokes-Mueller polarimetry for assessment of amyloid-β progression in a mouse model of Alzheimer’s disease
2020 · Mariia A. Borovkova, Alexander Bykov, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 4
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Innovative and high-performance instrumentation for biomedical Mueller polarimetric imaging in vivo
2019 · Arvid Lindberg, Jeremy Vizet, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 4
Breast cancer diagnosis using fluorescence spectroscopy with dual-wavelength excitation and machine learning
2019 · Xin Gao, Binlin Wu · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 4
Characterization and discrimination of human breast cancer and normal breast tissues using resonance Raman spectroscopy
2018 · Binlin Wu, Jason T. Smith, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 4
Advanced preprocessing and analysis techniques for enhanced Raman spectroscopy data interpretation
2025 · Mykyta Kizilov, Vsevolod Cheburkanov, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 3
Towards peripheral neuron regeneration: imaging nerve biomechanics using Brillouin spectroscopy
2023 · Vsevolod Cheburkanov, Junwei Du, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 3
SWIR windows as an adjunctive to biopsy for distinguishing and monitoring benign and malignant tissues
2020 · Laura A. Sordillo, Diana C. Sordillo, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 3
Optical access to the brain through a transparent cranial implant
2020 · Mildred S. Cano-Velázquez, Nami Davoodzadeh, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 3
Mid-infrared fiber sources for real-time biomedical sensing
2019 · Robert I. Woodward, Matthew R. Majewski, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 3
Mid-infrared OCT imaging in highly scattering samples using real-time upconversion of broadband supercontinuum covering from 3.6-4.6 μm
2019 · Christian R. Petersen, Niels M. Israelsen, et al. · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 3
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Hyperspectral characterization of tissue in the SWIR spectral range: a road to new insight?
2019 · Lise L. Randeberg · Optical Biopsy: Toward Real-Time Spectroscopic Imaging and Diagnosis · 3
Works count: 268
Citation count: 254
H-index: 7
I10-index: 4
2yr mean citedness: 0.186
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