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References Cited
OTHER PUBLICATIONS
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Acri, Giuseppe, et al. “Raman Spectroscopy as Noninvasive Method of Diagnosis of Pediatric Onset Inflammatory Bowel Disease.” Applied Sciences, vol. 10, No. 19, Oct. 5, 2020, p. 6974, doi:10. 3390/app10196974.
Westley, Chloe, et al. “Real-time Monitoring of Enzyme-catalysed Reactions Using Deep UV Resonance Raman Spectroscopy.” Chem- istry A European Journal, vol. 23, No. 29, May 2, 2017, pp. 6983-6987, doi:10.1002/chem.201701388.
Larmour, Iain A., et al. “The Past, Present and Future of Enzyme Measurements Using Surface Enhanced Raman Spectroscopy.” Chemical Science, vol. 1, No. 2, 2010, p. 151, doi:10.1039/ c0sc00226g.
Fan, Xiaqiong, et al. “A Universal and Accurate Method for Easily Identifying Components in Raman Spectroscopy Based on Deep Learning.” Analytical Chemistry, vol. 95, No. 11, Mar. 13, 2023, pp. 4863-4870, doi:10.1021/acs.analchem.2c03853.
Fan, Xiaqiong, et al. “A Universal and Accurate Method for Easily Identifying Components in Raman Spectroscopy Based on Deep Learning Supporting Information.” Analytical Chemistry, vol. 95, No. 11, Mar. 13, 2023, doi:10.1021/acs.analchem.2c03853.s001. Luo, Ruihao, et al. “Deep Learning for Raman Spectroscopy: A Review.” Analytica, vol. 3, No. 3, Jul. 19, 2022, pp. 287-301, doi:10.3390/analytica3030020.
Fan, Xiaqiong, et al. “Deep Learning-Based Component Identifi- cation for the Raman Spectra of Mixtures.” The Analyst, vol. 144, No. 5, 2019, pp. 1789-1798, doi:10.1039/c8an02212g. Jensen, Emil Alstrup, et al. “Label-Free Blood Typing by Raman Spectroscopy and Artificial Intelligence.” Advanced Materials Tech- nologies, vol. 9, No. 2, Dec. 6, 2023, doi:10.1002/admt.202301462. Qi, Yaping, et al. “Recent Progresses in Machine Learning Assisted Raman Spectroscopy.” Advanced Optical Materials, vol. 11, No. 14, Apr. 26, 2023, doi: 10.1002/adom.202203104.
Lopes, Daniela Franco, et al. “Characterization of Biomarkers in Blood Serum for Cancer Diagnosis in Dogs Using Raman Spec- troscopy.” Journal of Biophotonics, vol. 17, No. 3, Dec. 15, 2023, doi:10.1002/jbio.202300338.
Papadakis, Vassilis M., et al. “Label-Free Human Disease Charac- terization through Circulating Cell-Free DNA Analysis Using Raman Spectroscopy.” International Journal of Molecular Sciences, vol. 24, No. 15, Aug. 3, 2023, p. 12384, doi:10.3390/ijms241512384. Shin, Hyunku, et al. “Single Test-Based Diagnosis of Multiple Cancer Types Using Exosome-SERS-AI for Early Stage Cancers.” Nature Communications, vol. 14, No. 1, Mar. 24, 2023, doi:10. 1038/s41467-023-37403-1.
Maiti, Kiran Sankar, et al. “Detection of Disease-Specific Volatile Organic Compounds Using Infrared Spectroscopy.” The 16th Inter- national Workshop on Advanced Infrared Technology & Applica- tions, Nov. 22, 2021, doi:10.3390/engproc2021008015. Hanf, Stefan, et al. “Fast and Highly Sensitive Fiber-Enhanced Raman Spectroscopic Monitoring of Molecular H2 and CH4 for Point-of-Care Diagnosis of Malabsorption Disorders in Exhaled Human Breath.” Analytical Chemistry, vol. 87, No. 2, Dec. 29, 2014, pp. 982-988, doi: 10.1021/ac503450y.
Bögözi, Timea, et al. “Fiber-Enhanced Raman Multi-Gas Spectros- copy: What Is the Potential of Its Application to Breath Analysis?” Bioanalysis, vol. 7, No. 3, Feb. 2015, pp. 281-284, doi:10.4155/ bio.14.299.
Huang, Liping, et al. “Noninvasive Diagnosis of Gastric Cancer Based on Breath Analysis with a Tubular Surface-Enhanced Raman Scattering Sensor.” ACS Sensors, vol. 7, No. 5, May 13, 2022, pp. 1439-1450, doi: 10.1021/acssensors.2c00146.
Popov, Evgeniy, et al. “Raman Spectroscopy for Urea Breath Test.” Biosensors, vol. 13, No. 6, Jun. 2, 2023, p. 609, doi:10.3390/ bios13060609.
Shen, Yujie, et al. “A Versatile Setup Using Femtosecond Adaptive Spectroscopic Techniques for Coherent Anti-Stokes Raman Scat- tering.” Review of Scientific Instruments, vol. 86, No. 8, Aug. 1, 2015, doi: 10.1063/1.4929380.
Shutova, Mariia, et al. “Adaptive Optics Approach to Surface- Enhanced Raman Scattering.” Optics Letters, vol. 45, No. 13, Jun. 30, 2020, p. 3709, doi:10.1364/01.394548.
Christopher B. Marble, et al. “Biomedical Optics Applications of Advanced Lasers and Nonlinear Optics.” Journal of Biomedical Optics, vol. 25, No. 04, Apr. 23, 2020, p. 1, doi: 10.1117/1.jbo.25. 4.040902.
Shutov, Anton D., et al. “Coherent Anti-Stokes Raman Scattering Microspectroscopy: An Emerging Technique for Non-Invasive Opti- cal Assessment of a Local Bio-Nano-Environment.” IEEE Journal of Selected Topics in Quantum Electronics, vol. 27, No. 5, Sep. 2021, pp. 1-6, doi:10.1109/jstqe.2021.3083687.
Shutova, Mariia, et al. “Coherent Raman Generation Controlled by Wavefront Shaping.” Scientific Reports, vol. 9, No. 1, Feb. 7, 2019, doi: 10.1038/s41598-018-38302-y.
Arora, Rajan, et al. “Detecting Anthrax in the Mail by Coherent Raman Microspectroscopy.” Proceedings of the National Academy of Sciences, vol. 109, No. 4, Jan. 3, 2012, pp. 1151-1153, doi:10. 1073/pnas.1115242108.
Petrov, Georgi I., et al. “Detection of Bacillus Subtilis Spores in Water by Means of Broadband Coherent Anti-Stokes Raman Spec- troscopy.” Optics Express, vol. 13, No. 23, 2005, p. 9537, doi:10. 1364/opex. 13.009537.
Traverso, Andrew J., et al. “Dual Raman-Brillouin Microscope for Chemical and Mechanical Characterization and Imaging.” Analyti- cal Chemistry, vol. 87, No. 15, Jul. 24, 2015, pp. 7519-7523, doi: 10.1021/acs.analchem. 5b02104.
Petrov, Georgi I., et al. “Electronically Tunable Coherent Raman Spectroscopy Using Acousto-Optics Tunable Filter.” Optics Express, vol. 23, No. 19, Sep. 10, 2015, p. 24669, doi:10.1364/oe.23.024669. Hokr, Brett H., et al. “Enabling Time Resolved Microscopy with Random Raman Lasing.” Scientific Reports, vol. 7, No. 1, Mar. 15, 2017, doi: 10.1038/srep44572.
Zhu, Hanlin, et al. “Enhanced Chemical Sensing with Multiorder Coherent Raman Scattering Spectroscopic Dephasing.” Analytical Chemistry, vol. 94, No. 23, May 27, 2022, pp. 8409-8415, doi:10. 1021/acs.analchem.2c01060.
Zhang, Zhedong, et al. “Entangled Photons Enabled Time-Frequency- Resolved Coherent Raman Spectroscopy and Applications to Elec- tronic Coherences at Femtosecond Scale.” Light: Science & Appli- cations, vol. 11, No. 1, Sep. 14, 2022, doi:10.1038/s41377-022- 00953-y.
Hokr, Brett H., et al. “Higher Order Processes in Random Raman Lasing.” Applied Physics A, vol. 117, No. 2, Aug. 27, 2014, pp. 681-685, doi:10.1007/s00339-014-8722-7.
Shutov, Anton D., et al. “Highly Efficient Tunable Picosecond Deep Ultraviolet Laser System for Raman Spectroscopy.” Optics Letters, vol. 44, No. 23, Nov. 27, 2019, p. 5760, doi: 10.1364/01.44.005760. Zhang, Yingchao, et al. “Improving Resolution in Quantum Subnanometre-Gap Tip-Enhanced Raman Nanoimaging.” Scientific Reports, vol. 6, No. 1, May 25, 2016, doi:10.1038/srep25788. Altangerel, Narangerel, et al. “In Vivo Diagnostics of Early Abiotic Plant Stress Response via Raman Spectroscopy.” Proceedings of the National Academy of Sciences, vol. 114, No. 13, Mar. 13, 2017, pp. 3393-3396, doi:10.1073/pnas.1701328114.
Altangerel, Narangerel, et al. “Label-Free Drug Interaction Screen- ing via Raman Microscopy.” Proceedings of the National Academy of Sciences, vol. 120, No. 30, Jul. 18, 2023, doi:10.1073/pnas. 2218826120.
Meng, Zhaokai, et al. “Lightweight Raman Spectroscope Using Time-Correlated Photon-Counting Detection.” Proceedings of the National Academy of Sciences, vol. 112, No. 40, Sep. 21, 2015, pp. 12315-12320, doi:10.1073/pnas.1516249112.
Shen, Yujie, et al. “Picosecond Supercontinuum Generation in Large Mode Area Photonic Crystal Fibers for Coherent Anti-Stokes Raman Scattering Microspectroscopy.” Scientific Reports, vol. 8, No. 1, Jun. 22, 2018, doi:10.1038/s41598-018-27811-5. Meng, Zhaokai, et al. “Pure Electrical, Highly-Efficient and Sidelobe Free Coherent Raman Spectroscopy Using Acousto-Optics Tunable Filter (AOTF).” Scientific Reports, vol. 6, No. 1, Feb. 1, 2016, doi: 10.1038/srep20017.
Altangerel, Narangerel, et al. “Raman Spectroscopy as a Robust New Tool for Rapid and Accurate Evaluation of Drought Tolerance
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