Optical properties of biological tissues: a review

Optical Constants of Water in the 200-nm to 200-μm Wavelength Region

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Optical-Thermal Response of Laser-Irradiated Tissue

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PhotochemCAD††: A Computer-Aided Design and Research Tool in Photochemistry

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OPTICAL PROPERTIES OF SKIN, SUBCUTANEOUS, AND MUSCLE TISSUES: A REVIEW

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Optical-Thermal Response of Laser-Irradiated Tissue

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Near-infrared optical properties of ex vivo human skin and subcutaneous tissues measured using the Monte Carlo inversion technique

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Optical properties of normal and cancerous human skin in the visible and near-infrared spectral range

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The complex refractive index of water

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Performance of near-infrared spectroscopy in measuring local O2 consumption and blood flow in skeletal muscle

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Spectroscopic optical coherence tomography

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When the End Effector Is a Laser: A Review of Robotics in Laser Surgery

Lee, H. C., Pacheco, N. E., Fichera, L., & Russo, S. (2022) · Advanced Intelligent Systems · doi:10.1002/aisy.202200130 · Cited by 30

Neurophotonics: non-invasive optical techniques for monitoring brain functions

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Systematic study of target localization for bioluminescence tomography guided radiation therapy

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In vivo isolation of the effects of melanin from underlying hemodynamics across skin types using spatial frequency domain spectroscopy

Saager, R. B., Sharif, A., Kelly, K. M., & Durkin, A. J. (2016) · Journal of Biomedical Optics · doi:10.1117/1.jbo.21.5.057001 · Cited by 30

In vivo assessment of optical properties of basal cell carcinoma and differentiation of BCC subtypes by high-definition optical coherence tomography

Boone, M. A. L. M., Suppa, M., Miyamoto, M., Marneffe, A., Jemec, G. B. E., & del Mármol, V. (2016) · Biomedical Optics Express · doi:10.1364/boe.7.002269 · Cited by 30

A novel device for intraoperative photodynamic therapy dedicated to glioblastoma treatment

Dupont, C., Mordon, S. R., Deleporte, P., Reyns, N., & Vermandel, M. (2017) · Future Oncology · doi:10.2217/fon-2017-0261 · Cited by 30

Optical biosensing systems for a biological living body

Yan, T., Guo, C., Wang, C., & Zhu, K. (2023) · Open Research (University of Surrey) · doi:10.1002/viw.20220059 · Cited by 29

Moving Beyond Simulation: Data-Driven Quantitative Photoacoustic Imaging Using Tissue-Mimicking Phantoms

Gröhl, J., Else, T. R., Hacker, L., Bunce, E. V., Sweeney, P. W., & Bohndiek, S. E. (2023) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2023.3331198 · Cited by 29

An ultrathin organic–inorganic integrated device for optical biomarker monitoring

Kim, K. Y., Kang, J., Song, S., Lee, K., Hwang, S., Ko, S. H., Jeon, H., Han, J., & Lee, W. (2024) · Nature Electronics · doi:10.1038/s41928-024-01237-6 · Cited by 37

A systematic overview of strategies for photosensitizer and light delivery in antibacterial photodynamic therapy for lung infections

Shleeva, M. O., Demina, G. R., & Savitsky, A. P. (2024) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2024.115472 · Cited by 32

Removal of Verrucaria nigrescens from Carrara marble artefacts using Nd:YAG lasers: comparison among different pulse durations and wavelengths

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Verteprofin conjugated to gold nanoparticles for fluorescent cellular bioimaging and X-ray mediated photodynamic therapy

Clement, S., Chen, W., Anwer, A. G., & Goldys, E. M. (2017) · Microchimica Acta · doi:10.1007/s00604-017-2145-z · Cited by 29

Self-Calibration Phenomenon for Near-Infrared Clinical Measurements: Theory, Simulation, and Experiments

Feder, I., Duadi, H., Chakraborty, R., & Fixler, D. (2018) · ACS Omega · doi:10.1021/acsomega.8b00018 · Cited by 29

Integrated catheter for simultaneous radio frequency ablation and optoacoustic monitoring of lesion progression

Rebling, J., Landa, F. J. O., Deán‐Ben, X. L., Douplik, A., & Razansky, D. (2018) · Optics Letters · doi:10.1364/ol.43.001886 · Cited by 29

Photoacoustic imaging in percutaneous radiofrequency ablation: device guidance and ablation visualization

Joseph, F. K., & Manohar, S. (2019) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ab36a1 · Cited by 29

Recent fluorescence imaging technology applications of indocyanine green in general thoracic surgery

Matsuura, Y., Ichinose, J., Nakao, M., Okumura, S., & Mun, M. (2019) · Surgery Today · doi:10.1007/s00595-019-01906-6 · Cited by 29

Robust, accurate depth-resolved attenuation characterization in optical coherence tomography

Li, K., Liang, W., Yang, Z., Liang, Y., & Wan, S. (2019) · Biomedical Optics Express · doi:10.1364/boe.382493 · Cited by 29

Combined Nd:YAG and Er:YAG lasers for real-time closed-loop tissue-specific laser osteotomy

Abbasi, H., Bernal, L. M. B., Hamidi, A., Droneau, A., Canbaz, F., Guzman, R. G., Jacques, S. L., Cattin, P. C., & Zam, A. (2020) · Biomedical Optics Express · doi:10.1364/boe.385862 · Cited by 29

Fluence-matching technique using photoacoustic radiofrequency spectra for improving estimates of oxygen saturation

Fadhel, M. N., Hysi, E., Assi, H., & Kolios, M. C. (2020) · Photoacoustics · doi:10.1016/j.pacs.2020.100182 · Cited by 29

Minimal required PDT light dosimetry for nonmuscle invasive bladder cancer

Lilge, L. D., Wu, J. J., Xu, Y., Manalac, A., Molenhuis, D., Schwiegelshohn, F., Vesselov, L., Embree, W., Nesbitt, M., Betz, V., et al. (2020) · Journal of Biomedical Optics · doi:10.1117/1.jbo.25.6.068001 · Cited by 29

Design and In Vivo Evaluation of a Non-Invasive Transabdominal Fetal Pulse Oximeter

Fong, D. D., Yamashiro, K. J., Vali, K., Galganski, L. A., Thies, J., Moeinzadeh, R., Pivetti, C. D., Knoesen, A., Srinivasan, V. J., Hedriana, H. L., et al. (2020) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2020.3000977 · Cited by 31

Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope

Wisotzky, E. L., Rosenthal, J.-C., Wege, U., Hilsmann, A., Eisert, P., & Uecker, F. C. (2020) · Sensors · doi:10.3390/s20185334 · Cited by 27

Hyperspectral Imagery for Assessing Laser-Induced Thermal State Change in Liver

Landro, M. D., García-Molina, I. E., Barberio, M., Felli, É., Agnus, V., Pizzicannella, M., Diana, M., Zappa, E., & Saccomandi, P. (2021) · Sensors · doi:10.3390/s21020643 · Cited by 29

Prediction of In Vivo Laser-Induced Thermal Damage with Hyperspectral Imaging Using Deep Learning

Landro, M. D., Felli, É., Collins, T., Nkusi, R., Baiocchini, A., Barberio, M., Orrico, A., Pizzicannella, M., Hostettler, A., Diana, M., et al. (2021) · Sensors · doi:10.3390/s21206934 · Cited by 29

Optimization of a flexible fiber-optic probe for epi-mode quantitative phase imaging

Guang, Z., Ledwig, P. B., Costa, P. C., Filan, C. E., & Robles, F. E. (2022) · Optics Express · doi:10.1364/oe.454997 · Cited by 29

3D‐Bioprinted Phantom with Human Skin Phototypes for Biomedical Optics

Yim, W., Zhou, J., Sasi, L., Zhao, J., Yeung, J., Cheng, Y., Jin, Z., Johnson, W., Xu, M., Palma‐Chavez, J., et al. (2022) · Advanced Materials · doi:10.1002/adma.202206385 · Cited by 32

Optical properties of mouse brain tissue after optical clearing with FocusClear™

Moy, A. J., Capulong, B. V., Saager, R. B., Wiersma, M. P., Lo, P. C., Durkin, A. J., & Choi, B. (2015) · Journal of Biomedical Optics · doi:10.1117/1.jbo.20.9.095010 · Cited by 30

Shedding Light on the Veins - Reflected Light or Transillumination in Hand-Vein Recognition

Kauba, C., & Uhl, A. (2018) · International Conference on Biometrics · doi:10.1109/icb2018.2018.00050 · Cited by 29

Collagen fiber anisotropy characterization by polarized photoacoustic imaging for just-in-time quantitative evaluation of burn severity

Zhang, Z., Chen, W., Cui, D., Mi, J., Mu, G., Nie, L., Yang, S., & Shi, Y. (2023) · Photonics Research · doi:10.1364/prj.485022 · Cited by 28

Assessment of spatially offset Raman spectroscopy to detect differences in bone matrix quality

Gautam, R., Ahmed, R., Haugen, E. J., Ünal, M., Fitzgerald, S. T., Uppuganti, S., Mahadevan-Jansen, A. M., & Nyman, J. S. (2023) · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2023.123240 · Cited by 28

Hydrogel for light delivery in biomedical applications

Yew, P. Y. M., Chee, P. L., Lin, Q., Owh, C., Li, J., Dou, Q. Q., Loh, X. J., Kai, D., & Zhang, Y. (2024) · Bioactive Materials · doi:10.1016/j.bioactmat.2024.03.031 · Cited by 29

A pan-cancer dye for solid-tumour screening, resection and wound monitoring via short-wave and near-infrared fluorescence imaging

Mc Larney, B. E., Sonay, A. Y., Apfelbaum, E., Mostafa, N., Monette, S., Goerzen, D., Aguirre, N., Exner, R. M., Habjan, C., Isaac, E., et al. (2024) · Nature Biomedical Engineering · doi:10.1038/s41551-024-01248-w · Cited by 28

Chemical Analysis of Molecular Species through Turbid Medium

Arora, R., Petrov, G. I., Yakovlev, V. V., & Scully, M. O. (2013) · Analytical Chemistry · doi:10.1021/ac4023633 · Cited by 28

Near infrared spectroscopy for measuring changes in bone hemoglobin content after exercise in individuals with spinal cord injury

Draghici, A. E., Potart, D., Hollmann, J. L., Pera, V., Fang, Q., DiMarzio, C. A., Taylor, J. A., Niedre, M. J., & Shefelbine, S. J. (2017) · Journal of Orthopaedic Research® · doi:10.1002/jor.23622 · Cited by 28

Spatially offset Raman spectroscopy for photon migration studies in bones with different mineralization levels

Sowoidnich, K., Churchwell, J. H., Buckley, K., Goodship, A. E., Parker, A. W., & Matousek, P. (2017) · The Analyst · doi:10.1039/c7an00408g · Cited by 28

Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks

Adler, T. J., Ardizzone, L., Vemuri, A., Ayala, L. A., Gröhl, J., Kirchner, T., Wirkert, S., Kruse, J., Rother, C., Köthe, U., et al. (2019) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-019-01939-9 · Cited by 28

Monte Carlo Simulations of Heat Deposition during Photothermal Skin Cancer Therapy Using Nanoparticles

Jeynes, J. C. G., Wordingham, F., Moran, L. J., Curnow, A., & Harries, T. J. (2019) · Biomolecules · doi:10.3390/biom9080343 · Cited by 28

Toward a Hybrid Passive BCI for the Modulation of Sustained Attention Using EEG and fNIRS

Karran, A. J., Demazure, T., Léger, P., Labonté-LeMoyne, É., Sénécal, S., Frédette, M., & Babin, G. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00393 · Cited by 28

Direct measurement of the scattering coefficient

Hohmann, M., Lengenfelder, B., Muhr, D., Späth, M., Hauptkorn, M., Klämpfl, F., & Schmidt, M. (2020) · Biomedical Optics Express · doi:10.1364/boe.410248 · Cited by 28

pH-Triggered Poly(ethylene glycol)–Poly(lactic acid/glycolic acid)/Croconaine Nanoparticles-Assisted Multiplexed Photoacoustic Imaging and Enhanced Photothermal Cancer Therapy

Li, S., Lui, K.-H., Li, X., Fang, X., Lo, W., Gu, Y.-J., & Wong, W. (2021) · ACS Applied Bio Materials · doi:10.1021/acsabm.0c01578 · Cited by 28

Hemodynamic response to sensory stimulation in mice: Comparison between functional ultrasound and optoacoustic imaging

Robin, J., Rau, R., Lafci, B., Schroeter, A., Reiss, M., Deán‐Ben, X. L., Göksel, O., & Razansky, D. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118111 · Cited by 28

Label-free complete absorption microscopy using second generation photoacoustic remote sensing

Ecclestone, B. R., Bell, K. L., Sparkes, S., Dinakaran, D., Mackey, J. R., & Reza, P. H. (2022) · Scientific Reports · doi:10.1038/s41598-022-11235-3 · Cited by 28

Non-invasive visualization of amyloid-beta deposits in Alzheimer amyloidosis mice using magnetic resonance imaging and fluorescence molecular tomography

Ren, W., Li, L., Zhang, J., Vaas, M., Klohs, J., Ripoll, J., Wolf, M., Ni, R., & Rudin, M. (2022) · Biomedical Optics Express · doi:10.1364/boe.458290 · Cited by 27

4D spectral-spatial computational photoacoustic dermoscopy

Gao, Y., Feng, T., Qiu, H., Gu, Y., Chen, Q., Zuo, C., & Ma, H. (2023) · Photoacoustics · doi:10.1016/j.pacs.2023.100572 · Cited by 28

Optical coherence tomography system requirements for clinical diagnostic middle ear imaging

MacDougall, D., Rainsbury, J. W., Brown, J. A., Bance, M., & Adamson, R. B. A. (2015) · Journal of Biomedical Optics · doi:10.1117/1.jbo.20.5.056008 · Cited by 28

Tripling the maximum imaging depth with third-harmonic generation microscopy

Yıldırım, M., Durr, N. J., & Ben‐Yakar, A. (2015) · Journal of Biomedical Optics · doi:10.1117/1.jbo.20.9.096013 · Cited by 28

Optical coherence tomography can assess skeletal muscle tissue from mouse models of muscular dystrophy by parametric imaging of the attenuation coefficient

Klyen, B. R., Scolaro, L., Shavlakadze, T., Grounds, M. D., & Sampson, D. D. (2014) · Biomedical Optics Express · doi:10.1364/boe.5.001217 · Cited by 28

Optical imaging of hemoglobin oxygen saturation using a small number of spectral images for endoscopic application

Saito, T., & Yamaguchi, H. (2015) · Journal of Biomedical Optics · doi:10.1117/1.jbo.20.12.126011 · Cited by 28

Selective Manipulation of Neural Circuits

Park, H. G., & Carmel, J. B. (2016) · Neurotherapeutics · doi:10.1007/s13311-016-0425-7 · Cited by 29

Comparison of objective lenses for multiphoton microscopy in turbid samples

Singh, A. K., McMullen, J. D., Doris, E. A., & Zipfel, W. R. (2015) · Biomedical Optics Express · doi:10.1364/boe.6.003113 · Cited by 28

Fast quantitative ROS detection based on dual-color single rare-earth nanoparticle imaging reveals signaling pathway kinetics in living cells

Abdesselem, M., Ramodiharilafy, R. O., Devys, L., Gacoin, T., Alexandrou, A., & Bouzigues, C. (2016) · Nanoscale · doi:10.1039/c6nr07413h · Cited by 29

Development and evaluation of a connective tissue phantom model for subsurface visualization of cancers requiring wide local excision

Samkoe, K. S., Bates, B. D., Tselepidakis, N. N., DSouza, A. V., Gunn, J. R., Ramkumar, D. B., Paulsen, K. D., Pogue, B. W., & Henderson, E. R. (2017) · Journal of Biomedical Optics · doi:10.1117/1.jbo.22.12.121613 · Cited by 28

Beyond Fluorescent Proteins: Hybrid and Bioluminescent Indicators for Imaging Neural Activities

Wang, A., Feng, J., Li, Y., & Zou, P. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.7b00455 · Cited by 28

Three-dimensional texture analysis of optical coherence tomography images of ovarian tissue

Sawyer, T. W., Chandra, S., Rice, P. F. S., Koevary, J. W., & Barton, J. K. (2018) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aaefd2 · Cited by 28

Estimation of chlorin-based photosensitizer penetration depth prior to photodynamic therapy procedure with dual-wavelength fluorescence imaging

Khilov, A. V., Kirillin, M., Loginova, D. A., & Turchin, I. V. (2018) · Laser Physics Letters · doi:10.1088/1612-202x/aaea74 · Cited by 28

Sex, but not skin tone affects penetration of red‐light (660 nm) through sites susceptible to sports injury in lean live and cadaveric tissues

Hu, D., van Zeyl, M., Valter, K., & Potas, J. R. (2019) · Journal of Biophotonics · doi:10.1002/jbio.201900010 · Cited by 28

Imaging depth variations in hyperspectral imaging: Development of a method to detect tumor up to the required tumor‐free margin width

Kho, E., de Boer, L. L., Post, A. L., de Vijver, K. K. V., Jóźwiak, K., Sterenborg, H. J. C. M., & Ruers, T. J. M. (2019) · Journal of Biophotonics · doi:10.1002/jbio.201900086 · Cited by 28

Multi-modal imaging probe for assessing the efficiency of stem cell delivery to orthotopic breast tumours

Thin, M. Z., Allan, H., Bofinger, R., Kostelec, T. D., Guillaumé, S., Connell, J. J., Patrick, P. S., Hailes, H. C., Tabor, A. B., Lythgoe, M. F., et al. (2020) · Nanoscale · doi:10.1039/d0nr03237a · Cited by 28

External Basic Hyperthermia Devices for Preclinical Studies in Small Animals

Priester, M. I., Curto, S., van Rhoon, G. C., & ten Hagen, T. L. M. (2021) · Cancers · doi:10.3390/cancers13184628 · Cited by 28

Imaging perfusion changes in oncological clinical applications by hyperspectral imaging: a literature review

Hren, R., Serša, G., Simončič, U., & Milanič, M. (2022) · Radiology and Oncology · doi:10.2478/raon-2022-0051 · Cited by 27

Stochastic three-dimensional numerical phantoms to enable computational studies in quantitative optoacoustic computed tomography of breast cancer

Park, S., Villa, U., Li, F., Çam, R. M., Oraevsky, A. A., & Anastasio, M. A. (2023) · Journal of Biomedical Optics · doi:10.1117/1.jbo.28.6.066002 · Cited by 27

A dual-channel visible light optical coherence tomography system enables wide-field, full-range, and shot-noise limited human retinal imaging

Wang, J., Nolen, S. L., Song, W., Shao, W., Yi, W., Kashani, A. H., & Yi, J. (2024) · Communications Engineering · doi:10.1038/s44172-024-00167-7 · Cited by 27

In vivo optoacoustic temperature imaging for image-guided cryotherapy of prostate cancer

Petrova, E. V., Brecht, H.-P., Motamedi, M., Oraevsky, A. A., & Ermilov, S. A. (2018) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aab241 · Cited by 27

Fluorescence Molecular Imaging and Tomography of Matrix Metalloproteinase-Activatable Near-Infrared Fluorescence Probe and Image-Guided Orthotopic Glioma Resection

Li, L., Du, Y., Chen, X., & Tian, J. (2018) · Molecular Imaging and Biology · doi:10.1007/s11307-017-1158-7 · Cited by 27

Optical beam propagation in soft anisotropic biological tissues

Chen, X., & Korotkova, O. (2018) · OSA Continuum · doi:10.1364/osac.1.001055 · Cited by 27

Focusing large spectral bandwidths through scattering media

Vesga, A. G., Hofer, M., Balla, N. K., de Aguiar, H. B., Guillon, M., & Brasselet, S. (2019) · Optics Express · doi:10.1364/oe.27.028384 · Cited by 27

Design of a high-resolution light field miniscope for volumetric imaging in scattering tissue

Chen, Y., Xiong, B., Xue, Y., Jin, X., Greene, J., & Tian, L. (2020) · Biomedical Optics Express · doi:10.1364/boe.384673 · Cited by 27

Quantitative analysis of breast tumours aided by three-dimensional photoacoustic/ultrasound functional imaging

Yang, M., Zhao, L., Yang, F., Wang, M., Su, N., Zhao, C., Gui, Y., Wei, Y., Zhang, R., Li, J., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-64966-6 · Cited by 27

Picosecond laser-induced photothermal skin damage evaluation by computational clinical trial

Shimojo, Y., Nishimura, T., Hazama, H., Ito, N., & Awazu, K. (2020) · LASER THERAPY · doi:10.5978/islsm.20-or-08 · Cited by 27

Improving needle visibility in LED-based photoacoustic imaging using deep learning with semi-synthetic datasets

Shi, M., Zhao, T., West, S. J., Desjardins, A. E., Vercauteren, T. K., & Xia, W. (2022) · Photoacoustics · doi:10.1016/j.pacs.2022.100351 · Cited by 27

Development of a Noninvasive Blood Glucose Monitoring System Prototype: Pilot Study

Valero, M., Pola, P., Falaiye, O., Ingram, K. H., Zhao, L., Shahriar, H., & Ahamed, S. I. (2022) · JMIR Formative Research · doi:10.2196/38664 · Cited by 30

Toward Ultrasensitive, Broadband, Reflection‐Mode In Vivo Photoacoustic Microscopy Using a Bare Glass

Song, W., Yang, F., Min, C., Zhu, S., & Yuan, X. (2022) · Laser & Photonics Review · doi:10.1002/lpor.202200030 · Cited by 27

Lightfield hyperspectral imaging in neuro-oncology surgery: an IDEAL 0 and 1 study

MacCormac, O. J., Noonan, P. J., Janatka, M., Horgan, C. C., Bahl, A., Qiu, J., Elliot, M., Trotouin, T., Jacobs, J., Patel, S., et al. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1239764 · Cited by 27

Will data analytics revolution finally bring SERS to the clinic?

Mahmoud, A., Teixeira, A., Palomer, M. A., Relvas, M. S., Quintero, S., Sousa-Silva, M., Chícharo, A., Chen, M., Hashemi, M., King, J. B., et al. (2023) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2023.117311 · Cited by 26

Optimal estimation reconstruction of the optical properties of a two-layered tissue phantom from time-resolved single-distance measurements

Martelli, F., Bianco, S. D., Spinelli, L., Cavalieri, S., Ninni, P. D., Binzoni, T., Jelzow, A., Macdonald, R., & Wabnitz, H. (2015) · Journal of Biomedical Optics · doi:10.1117/1.jbo.20.11.115001 · Cited by 27

Biometric identification via retina scanning with liveness detection using speckle contrast imaging

Shaydyuk, N. K., & Cleland, T. (2016) · IEEE International Carnahan Conference on Security Technology (ICCST) · doi:10.1109/ccst.2016.7815706 · Cited by 27

Nonlinear Photoacoustic Imaging by in Situ Multiphoton Upconversion and Energy Transfer

Wang, D., Wei, W., Singh, A., He, G. S., Kannan, R., Tan, L., Chen, G., Prasad, P. N., & Xia, J. (2017) · ACS Photonics · doi:10.1021/acsphotonics.7b00399 · Cited by 27

Tissue mimicking materials in image-guided needle-based interventions: A review

Li, P., Yang, Z., & Jiang, S. (2018) · Materials Science and Engineering C · doi:10.1016/j.msec.2018.09.028 · Cited by 27

Electromagnetic–Acoustic Sensing for Biomedical Applications

Liu, S., Zhang, R., Zheng, Z., & Zheng, Y. (2018) · Sensors · doi:10.3390/s18103203 · Cited by 27

Comparison of in vivo and in vitro models to evaluate pulp temperature rise during exposure to a Polywave® LED light curing unit

Runnacles, P., Arrais, C. A. G., Maucoski, C., Coelho, U., de Góes, M. F., & Rueggeberg, F. A. (2019) · Journal of Applied Oral Science · doi:10.1590/1678-7757-2018-0480 · Cited by 27

Hyperspectral imaging in the spatial frequency domain with a supercontinuum source

Torabzadeh, M., Stockton, P. A., Kennedy, G. T., Saager, R. B., Durkin, A. J., Bartels, R. A., & Tromberg, B. J. (2019) · Journal of Biomedical Optics · doi:10.1117/1.jbo.24.7.071614 · Cited by 27

Unmixing multi-spectral photoacoustic sources in human carotid plaques using non-negative independent component analysis

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In Vivo Bioluminescence Tomography Center of Mass-Guided Conformal Irradiation

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