IPS Literature References

Wang, et al., “In vivo confocal Raman spectroscopy for skin disease diagnosis and characterization: preliminary results from mouse tumor models”, Proc. SPIE 7161, Photonic Therapeutics and Diagnostics V, 716108 (2009).


C.A. Patil, et al., “A clinical probe for combined Raman spectroscopy-optical coherence tomography (RS-OCT) of the skin cancers”, Proc. SPIE 7548, Photonic Therapeutics and Diagnostics VI, 75480L (2010).


Bi, et al., “Characterization of bone quality in prostate cancer bone metastases using Raman spectroscopy”, Proc. SPIE 7548, Photonic Therapeutics and Diagnostics VI, 75484L (2010).


Wang, et al., “Depth-resolved in vivo micro-Raman spectroscopy of a murine skin tumor model reveals cancer-specific spectral biomarkers,” Jl. of Raman Spectroscopy, 42, 160 (2011).


C.A. Patil, et al., “A clinical instrument for combined Raman spectroscopy-optical coherence tomography of skin cancers,” Lasers in Surgery and Medicine, 43, 143 (2011).


K.A. Esmonde-White, et al., “Raman spectroscopy of bone metastasis”, Proc. SPIE 8207, Photonic Therapeutics and Diagnostics VIII, 82076P (2012).


M.D. Keller, et al., “Development of a spatially offset Raman spectroscopy probe for breast tumor surgical margin evaluation,” Journal of Biomedical Optics 16(7), 077006 (2011).


M.C. Potcoava, et al., “Raman and coherent anti-Stokes Raman scattering microscopy studies of changes in lipid content and composition in hormone-treated breast and prostate cancer cells,” Journal of Biomedical Optics 19(11), 111605 (2014).


M.C. Potcoava, et al., “Micro-Raman spectroscopy studies of changes in lipid composition in breast and prostate cancer cells treated with MPA and R1881 hormones”, Proc. SPIE 8939, Biomedical Vibrational Spectroscopy VI: Advances in Research and Industry, 89390I (2014).


Jermyn, et al., “Intraoperative detection of glioma invasion beyond MRI enhancement with Raman spectroscopy in humans”, Proc. SPIE 9318, Optical Biopsy XIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, 93180D (2015).


Jermyn, et al., “Neural networks improve brain cancer detection with Raman spectroscopy in the presence of operating room light artifacts,” Journal of Biomedical Optics, 21(9), 094002 (2016).


Jermyn, et al., “Neural networks improve brain cancer detection with Raman spectroscopy in the presence of light artifacts”, Proc. SPIE 9690, Clinical and Translational Neurophotonics; Neural Imaging and Sensing; and Optogenetics and Optical Manipulation, 96900B (2016).


Jermyn, et al., “Raman spectroscopy detects distant invasive brain cancer cells centimeters beyond MRI capability in humans,” Biomed. Opt. Express 7, 5129-5137 (2016).


Moradi, et al., “Raman micro-spectroscopy applied to treatment resistant and sensitive human ovarian cancer cells,” J. Biophotonics, 10, 1327 (2017).


Kahramangil and E. Berber, “The use of near-infrared fluorescence imaging in endocrine surgical procedures,” Jl. Surgical Oncology, 115, 848 (2017).


Kim, et al., “Dual-modal cancer detection based on optical pH sensing and Raman spectroscopy,” Journal of Biomedical Optics 22(10), 105002 (2017).


B. Gardner, et al., “Noninvasive Determination of Depth in Transmission Raman Spectroscopy in Turbid Media Based on Sample Differential Transmittance,” Anal. Chem., 89, 9730 (2017).


Aubertin, et al., “Mesoscopic characterization of prostate cancer using Raman spectroscopy: potential for diagnostics and therapeutics,” BJU International, 122, 326 (2018).


Ghita, P. Matousek, and N. Stone, “Characterization of a novel transmission Raman spectroscopy platform for non-invasive detection of breast micro-calcifications”, Proc. SPIE 10490, Biomedical Vibrational Spectroscopy 2018: Advances in Research and Industry, 104900G (2018).


Daoust, et al., “Handheld macroscopic Raman spectroscopy imaging instrument for machine-learning-based molecular tissue margins characterization,” Journal of Biomedical Optics 26(2), 022911 (2021).  
Chao, et al., “A Raman chemical imaging system for detection of contaminants in food”, Proc. SPIE 8027, Sensing for Agriculture and Food Quality and Safety III, 802710 (2011).


Qin, et al., “Evaluating carotenoid changes in tomatoes during postharvest ripening using Raman chemical imaging”, Proc. SPIE 8027, Sensing for Agriculture and Food Quality and Safety III, 802703 (2011).


Qin, et al., “Investigation of Raman chemical imaging for detection of lycopene changes in tomatoes during postharvest ripening,” Journal of Food Engineering, 107, 277 (2011).


Qin, et al., “Detecting multiple adulterants in dry milk using Raman chemical imaging”, Proc. SPIE 8369, Sensing for Agriculture and Food Quality and Safety IV, 83690H (2012).


Chao, et al., “Raman spectroscopy and imaging to detect contaminants for food safety applications”, Proc. SPIE 8721, Sensing for Agriculture and Food Quality and Safety V, 87210S (2013).


Qin, et al., “Development of a Raman chemical image detection algorithm for authenticating dry milk”, Proc. SPIE 8721, Sensing for Agriculture and Food Quality and Safety V, 872102 (2013).


Qin, et al., “High-throughput Raman chemical imaging for evaluating food safety and quality”, Proc. SPIE 9108, Sensing for Agriculture and Food Quality and Safety VI, 91080F (2014).


Qin, et al., “A Laser Line Hyperspectral System for high throughput Raman chemical imaging,” Applied Spectroscopy, 68, 692 (2014).


Qin, et al., “Screening of adulterants in powdered foods and ingredients using line-scan Raman chemical imaging”, Proc. SPIE 9488, Sensing for Agriculture and Food Quality and Safety VII, 94880F (2015).


Chao, et al., “Depth of penetration of a 785nm wavelength laser in food powders”, Proc. SPIE 9488, Sensing for Agriculture and Food Quality and Safety VII, 94880U (2015).


Dhakal, et al., “Raman-spectroscopy-based chemical contaminant detection in milk powder”, Proc. SPIE 9488, Sensing for Agriculture and Food Quality and Safety VII, 94880E (2015).


Zhao, et al., “Rapid detection of benzoyl peroxide in wheat flour by using Raman scattering spectroscopy”, Proc. SPIE 9488, Sensing for Agriculture and Food Quality and Safety VII, 94880S (2015).


Qin, et al., “Line-scan spatially offset Raman spectroscopy for inspecting subsurface food safety and quality”, Proc. SPIE 9864, Sensing for Agriculture and Food Quality and Safety VIII, 98640C (2016).


C.L. Broadhurst, et al., “Continuous gradient temperature Raman spectroscopy of the long chain polyunsaturated fatty acids docosapentaenoic (DPA, 22:5n-6) and docosahexaenoic (DHA; 22:6n-3) from −100 to 20° C”, Proc. SPIE 9864, Sensing for Agriculture and Food Quality and Safety VIII, 98640E (2016).


Qin, et al., “A line-scan hyperspectral Raman system for spatially offset Raman spectroscopy,” Jl. of Raman Spectroscopy, 47, 437 (2016).


Dhakal, et al., “Raman spectroscopy method for subsurface detection of food powders through plastic layers”, Proc. SPIE 10217, Sensing for Agriculture and Food Quality and Safety IX, 1021706 (2017).


Qin, et al., “Detecting benzoyl peroxide in wheat flour by line-scan macro-scale Raman chemical imaging”, Proc. SPIE 10217, Sensing for Agriculture and Food Quality and Safety IX, 1021707 (2017).


Qin, et al., “Line-scan Raman imaging and spectroscopy platform for surface and subsurface evaluation of food safety and quality,” Journal of Food Engineering, 198, 17 (2017).


Wang, et al., “Raman hyperspectral image analysis of benzoyl peroxide additive,” Journal of Molecular Structure, 1138, 6 (2017).


Wang, X. et al., ”Quantitative analysis of BPO additive in flour via Raman hyperspectral imaging technology. Eur Food Res Technol 243, 2265–2273 (2017).


Karami, et al., “Microplastic and mesoplastic contamination in canned sardines and sprats,” Science of The Total Environment, 612, 1380 (2018).


J.-Y. Lee, et al., “Quantitative analysis of lard in animal fat mixture using visible Raman spectroscopy,” Food Chemistry, 254, 109 (2018).


Liu, et al., “Packaged food detection method based on the generalized Gaussian model for line-scan Raman scattering images,” Journal of Food Engineering, 258, 9 (2019).


C.L. Broadhurst, et al., “Continuous gradient temperature Raman spectroscopy of polyunsaturated fish lipids provides detailed vibrational analysis and rapid, nondestructive graphical product authentication”, Proc. SPIE 11421, Sensing for Agriculture and Food Quality and Safety XII, 1142106 (2020).


Karbalaei, et al., “Analysis and inorganic composition of microplastics in commercial Malaysian fish meals,” Marine Pollution Bulletin, 150, 110687 (2020).


Gomes, et al., “Trophic transfer of carbon nanofibers among eisenia fetida, danio rerio and oreochromis niloticus and their toxicity at upper trophic level,” Chemosphere, 263, 127657 (2021).


P. Justiniano de Oliveira, et al., “Behavioral and biochemical consequences of Danio rerio larvae exposure to polylactic acid bioplastic,” Journal of Hazardous Materials, 404 Part A, 124152 (2021).


A.T. Batista Guimarães, et al., “Toxic effects of naturally-aged microplastics on zebrafish juveniles: A more realistic approach to plastic pollution in freshwater ecosystems,” Journal of Hazardous Materials, 407, 124833 (2021).
Naji, et al., “A novel method of using hollow-core photonic crystal fiber as a Raman biosensor”, Proc. SPIE 6865, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications V, 68650E (2008).


  V.S. Tiwari, et al., “Detection of amino acid neurotransmitters by surface enhanced Raman scattering and hollow core photonic crystal fiber”, Proc. SPIE 8233, Reporters, Markers, Dyes, Nanoparticles, and Molecular Probes for Biomedical Applications IV, 82330Q (2012).


B.D. Beier, et al., “Raman microspectroscopy for species identification and mapping within bacterial biofilms,” AMB Expr 2, 35 (2012).


Ron, et al., “A tissue mimicking phantom model for applications combining light and ultrasound”, Proc. SPIE 8583, Design and Performance Validation of Phantoms Used in Conjunction with Optical Measurement of Tissue V, 858307 (2013).


Khmaladze, et al., “Raman fiberoptic probe for monitoring human tissue engineered oral mucosa constructs”, Proc. SPIE 8579, Optical Interactions with Tissue and Cells XXIV, 85790L (2013).


K.K. Chow, et al., “A Raman cell based on hollow core photonic crystal fiber for human breath analysis,” Medical Physics, 41, 092701 (2014).


I.P. Santos, et al., “Implementation of a novel low-noise InGaAs detector enabling rapid near-infrared multichannel Raman spectroscopy of pigmented biological samples,” Jl. of Raman Spectroscopy, 46, 652 (2015).


Petterson, et al., “Characterization of a fibre optic Raman probe within a hypodermic needle,” Anal Bioanal Chem 407, 8311 (2015).


E.S. Shibu, et al., “Small Gold Nanorods with Tunable Absorption for Photothermal Microscopy in Cells”,  Advanced Science, 4, 1600280 (2017).


Sharma and A. S. Moody, “Detection of neurotransmitters through the skull by surface-enhanced spatially-offset Raman spectroscopy,” in Advanced Photonics 2017 (IPR, NOMA, Sensors, Networks, SPPCom, PS), OSA Technical Digest (Optical Society of America, 2017), paper SeTu2E.5.


Schleusener, et al., “Depth-dependent autofluorescence photobleaching using 325, 473, 633, and 785 nm of porcine ear skin ex vivo,” Journal of Biomedical Optics 22(9), 091503 (2017).


Ghita, et al., “High sensitivity non-invasive detection of calcifications deep inside biological tissue using transmission Raman spectroscopy,” Jl. Biophotonics, 11, e201600260 (2018).


Zeng and Z.D. Schultz, “Local heating effect study by photothermal imaging”, Proc. SPIE 10726, Nanoimaging and Nanospectroscopy VI, 107260H (2018).


S.H. Hilton, et al., “Phenotypically distinguishing ESBL-producing pathogens using paper-based surface enhanced Raman sensors,” Analytica Chimica Acta, 1127, 207 (2020).
Bi, J et al., “Raman spectroscopy for of bone quality in MMP-2 knockout mice”, Proc. SPIE 7166, Optics in Bone Biology and Diagnostics, 71660B (2009).


A.H. Chau, et al., “Fingerprint and high-wavenumber Raman spectroscopy in a human-swine coronary xenograft in vivo,” Journal of Biomedical Optics 13(4), 040501 (2008).


F.W.L. Esmonde-White, et al., “Exposed and transcutaneous measurement of musculoskeletal tissues using fiber optic coupled Raman spectroscopy,” Proceedings SPIE, 7548, Photonic Therapeutics and Diagnostics VI; 75484D (2010). 


Khetani, et al., “Monitoring of heparin concentration in serum by Raman spectroscopy within hollow core photonic crystal fiber,” Optics Express, 19, 15245 (2011).


Khetani, et al., “Monitoring of adenosine within hollow core photonic crystal fiber by surface enhanced Raman scattering (SERS),” 2011 11th IEEE International Conference on Nanotechnology, 973 (2011).


Bi, et al., “Raman and mechanical properties correlate at whole bone- and tissue-levels in a genetic mouse model,” Journal of Biomechanics, 44, 297 (2011).


J.S. Nyman, et al., “Differential effects between the loss of MMP-2 and MMP-9 on structural and tissue-level properties of bone,” Journal of Bone and Mineral Research, 26, 1252 (2011).


Shim, et al., “An investigation of the effect of in vivo interferences on Raman glucose measurements”, Proc. SPIE 7906, Optical Diagnostics and Sensing XI: Toward Point-of-Care Diagnostics; and Design and Performance Validation of Phantoms Used in Conjunction with Optical Measurement of Tissue III, 79060Z (2011).


P.I. Okagbare, et al., “Transcutaneous Raman spectroscopy for assessing progress of bone-graft incorporation in bone reconstruction and repair”, Proc. SPIE 7883, Photonic Therapeutics and Diagnostics VII, 78834I (2011).


Bi, et al., “Assessment of Breast Cancer Induced Bone Quality Changes Using Raman Spectroscopy,” in Biomedical Optics and 3-D Imaging, OSA Technical Digest (Optical Society of America, 2012), paper JM3A.43.


A.J. Makowski, et al., “In vivo analysis of laser preconditioning in incisional wound healing of wild-type and HSP70 knockout mice with Raman spectroscopy,” Lasers in Surgery and Medicine, 44, 233 (2012).


P.I. Okagbare and M.D. Morris, “Polymer-capped fiber-optic Raman probe for in-vivo non-invasive Raman tomography and spectroscopy”, Proc. SPIE 8207, Photonic Therapeutics and Diagnostics VIII, 82076J (2012).


M. Almond, et al., “Preclinical evaluation of a Raman spectroscopic probe for endoscopic classification of oesophageal pathologies”, Proc. SPIE 8219, Biomedical Vibrational Spectroscopy V: Advances in Research and Industry, 82190L (2012).


A.J. Makowski, et al., “Polarization control of Raman spectroscopy optimizes the assessment of bone tissue,” Journal of Biomedical Optics 18(5), 055005 (24 May 2013).


A.J. Makowski, et al., “Polarization in Raman spectroscopy helps explain bone brittleness in genetic mouse models,” Journal of Biomedical Optics 19(11), 117008 (2014).


C.M. O’Brien, et al.,”Characterization of human cervical remodeling throughout pregnancy using in vivo Raman spectroscopy”, Proc. SPIE 9303, Photonic Therapeutics and Diagnostics XI, 93032F (2015).


B. Gardner, et al., “Non-invasive chemically specific measurement of subsurface temperature in biological tissues using surface-enhanced spatially offset Raman spectroscopy,” Faraday Discuss., 187, 329 (2016).


Desroches, et al., “Raman spectroscopy in microsurgery: impact of operating microscope illumination sources on data quality and tissue classification,” Analyst, 142, 1185 (2017).


H. Ding, et al., “Effect of physiological factors on the biochemical properties of colon tissue – an in vivo Raman spectroscopy study,” Jl. of Raman Spectroscopy, 48, 902 (2017).


A.S. Moody, et al., “Surface Enhanced Spatially Offset Raman Spectroscopy Detection of Neurochemicals Through the Skull”, Anal. Chem. 89(11), 5688–5692


(2017).


S. Shibu, et al., “Small gold nanorods with tunable absorption for photothermal microscopy in cells,” Advanced Science, 4, 1600280 (2017).


Makowski, A., et al., “Applying Full Spectrum Analysis to a Raman Spectroscopic Assessment of Fracture Toughness of Human Cortical Bone,” Applied Spectroscopy, 71(10), 2385-2394, (2017)


S.M. Lundsgaard-Nielsen, et al., “Critical-depth Raman spectroscopy enables home-use non-invasive glucose monitoring,” PLoS ONE 13(5), e0197134 (2018).


O.A. Okoh, et al., ”Synthesis and photophysical properties of meso-aminophenyl-substituted heptamethine dyes as potential leads to new contrast agents,” Coloration Technology, 135, 305 (2019).


Pinto, et al., “Integration of a Raman spectroscopy system to a robotic-assisted surgical system for real-time tissue characterization during radical prostatectomy procedures,” Journal of Biomedical Optics 24(2), 025001 (2019).


E. Cannaday, et al., “Angularly resolved, finely sampled elastic scattering measurements of single cells: requirements for robust organelle size extractions,” Journal of Biomedical Optics 24(8), 086502 (2019).


Kotturi, et al., “Evaluating hydrogels for implantable probes using SERS”, Proc. SPIE 10894, Plasmonics in Biology and Medicine XVI, 108941B (2019).


Zhang, et al., “In vitro and in vivo datasets of topically applied ketorolac tromethamine in aqueous humor using Raman spectroscopy,” Data in Brief, 27, 104694 (2019).


Gardner, et al., “Noninvasive simultaneous monitoring of pH and depth using surface-enhanced deep Raman spectroscopy, Jl. of Raman Spectroscopy, 51, 1078 (2020).


W.B. Sohn, et al., “Single-layer multiple-kernel-based convolutional neural network for biological Raman spectral analysis,” Jl. of Raman Spectroscopy, 51, 414 (2020).


Zhang, et al., “Dark-field illumination in conjunction with confocal Raman spectroscopy for real-time noninvasive aqueous humor investigation,” Optical Engineering 59(9), 092002 (2020).


Yu. Yanina, et al., “Confocal Raman micro-spectroscopy for evaluation of optical clearing efficiency of the skin ex vivo”, Proc. SPIE 11239, Dynamics and Fluctuations in Biomedical Photonics XVII, 112390W (2020).


Julien, et al., “Investigating Origins of FLIm Contrast in Atherosclerotic Lesions Using Combined FLIm-Raman Spectroscopy,” Frontiers in Cardiovascular Medicine, 7,122 (2020).