AJP ISSN : 0971 – 3093
Vol 30, No 3, March, 2021

Journal of Physics

Volume 30, No 3, March, 2021

A Special Issue Dedicated to
Prof V B Kartha, FNA
Guest Edited By : V V Tuchin and Santosh Chidangil

Anita Publications
FF-43, 1st Floor, Mangal Bazar, Laxmi Nagar, Delhi-110 092, India


Guest Editorial

About the Guest Editor

About Prof V B Kartha

Raman spectroscopy in the bio-medical field: Practical guidelines from calibration to data processing for an unbiased interpretation of biospectroscopic information
V Untereiner, O Piot, F Alsamad, N Mainreck, C Gobinet, G D Sockalingum

Recent progress in tissue enhanced spectroscopy for cancer detection
Valery V Tuchin and Luís M Oliveira

Investigation of metabolism in cancer specimens using Fluorescence Lifetime Imaging Microscopy
Shagufta Rehman Alam, Horst Wallrabe and Ammasi Periasamy

Multi-modal Tissue Sensing in the Detection of Malignant Tumors-A Mini Review
B S Suresh Anand, Jonath Sujan, and Narayanan Subhash

Fiberoptic Raman Theranostics in Cancer Management: Challenges and Perspectives
C Murali Krishna

Recent Advances in Multimodal Optical Coherence Tomography for Tissue Imaging
B Karthik Goud and K Divakar Rao

Adenocarcinoma and Squamous cell carcinoma probed by laser induced fluorescence
Sanoop Pavithran M, Ajaya Kumar Barik, Arun Chawla, Muralidhar V Pai, Rekha Upadhya, Jijo Lukose, Santhosh Chidangil

LIBS: Potential and possibilities for advanced biophotonics applications
Unnikrishnan V K

Appreciation Note for Prof V B Kartha

I am happy to pen down my appreciation on the occasion of the Special Issue of Asian Journal of Physics in honor of Prof V B Kartha. When I joined Bhabha Atomic Research Centre, Bombay in 1972 , Prof Kartha was already a very well recognized scientist in the Spectroscopy Division .He contributed significantly to many programs of the Department of Atomic Energy such as development of many spectroscopic techniques for critical applications in laser isotope enrichment. environmental monitoring and ultra-trace analysis.His contributions to the development of beam lines at synchrotron source INDUS-1 at RRCAT, Indore will always be remembered. Later on , he moved to MAHE and established a world class group in Biomedical applications of Spectroscopy. His contributions to the advancement of science and technology in our country will always be a source of inspiration to young scientists .On this occasion, it is my privilege and honor to offer my respects and best wishes to Prof Kartha.

Ajay Sood
Tue, 13 Apr 2021 18:18:06

Asian Journal of Physics Vol. 30, No 3 (2021) 413-426

Raman spectroscopy in the bio-medical field: Practical guidelines from calibration to data processing for an unbiased interpretation of biospectroscopic information

V Untereiner1,2#, O Piot1,2#, F Alsamad1, N Mainreck1, C Gobinet1 and, G D Sockalingum1*
1Université de Reims Champagne-Ardenne, BioSpecT EA 7506, UFR de Pharmacie, 51097 Reims, France
2Université de Reims Champagne-Ardenne, PICT, 51097 Reims, France
Dedicated to Professor Prof V B Kartha,FNA

Raman spectroscopy provides fingerprint-type information on the composition and structural conformation of specific molecular species. Its multiple characteristics, including a high sensitivity to changes at the molecular level, its ability to provide a reagent-, label- and waste-free analysis in a non-invasive way makes it an interesting tool for biomedical investigations. In this short review, we approach via our viewpoints some practical guidelines for implementing Raman spectroscopy of complex biological specimens. These include instrument calibration, excitation and substrate options as well as Raman data pre-processing. The underlying goal is to access a balanced interpretation of Raman spectral information originating from cells and tissues in view of identifying markers that could help to understand cellular processes or that could be useful for diagnostic purposes. Examples of Raman applications are illustrated by studies on cell typing/phenotyping, differentiation between normal and cancer cells, monitoring cell/drug interactions and tissue imaging for identifying tumor heterogeneities. © Anita Publications. All rights reserved.
Keywords: Raman spectroscopy, Instrument calibration, Bio-medical, biomolecular composition, Transferability.

  1. Butler H J, Ashton L, Bird B, Cinque G, Curtis K, Dorney J, Esmonde-White K, Fullwood NJ, Gardner B, Martin-Hirsch P L, Using Raman spectroscopy to characterize biological materials, Nat Protoc, 11(2016)664-687.
  2. Baker M J, Trevisan J l, Bassan P, Bhargava R, Butler H J, Dorling K M, Fielden P R, Fogarty S W, Fullwood N J, Heys K A, Hughes C, Lasch P, Martin-Hirsch P L, Obinaju B, Sockalingum, G D, Sulé-Suso J, Strong R J, Walsh M J, Wood B R, Gardner P, Martin F L, Using Fourier transform IR spectroscopy to analyze biological materials, Nat Protoc, 9(2014)1771-1791.
  3. (a) Baker M J, Hussain S R, Lovergne L, Untereiner V, Hughes C, Lukaszewski R A, Thiéfin G, Sockalingum G D, Developing and understanding biofluid vibrational spectroscopy: a critical review, Chem Soc Rev, 45(2016)1803-1818.

(b) Alsamad F, Gobinet C, Vuiblet V, Jaisson S, Piot O, Towards normalization selection of Raman data in the context of protein glycation: application of validity indices to PCA processed spectra, Analyst, 145(2020)2945-2957.

  1. Derruau S, Robinet J, Untereiner V, Piot O, Sockalingum G D, Lorimier S, Vibrational spectroscopy saliva profiling as biometric tool for disease diagnostics: A systematic literature, Molecules, 25(2020)4142; doi:10.3390/molecules25184142.
  2. (a) Lyng F M, Ramos I R M, Ibrahim O, Byrne H J, Vibrational microspectroscopy for cancer screening, Appl Sci, 5(2015)23-35.

(b) Bergholt M S, Serio A, Albro M B, Raman spectroscopy: Guiding light for the extracellular matrix, Front Bioeng Biotechnol, 7(2019)303; doi.org/10.3389/fbioe.2019.00303.

  1. Byrne H J, Behl I, Calado G, Ibrahim O, Toner M, Galvin S, Healy C M, Flint S, Lyng F M, Biomedical applications of vibrational spectroscopy: Oral cancer diagnostics, Spectrochim Acta A, 252(2021)119470; doi.org/10.1016/j.saa.2021.119470.
  2. Meade A D, Clarke C, Draux F, Sockalingum G D, Manfait M, Lyng F M, Byrne H J, Studies of chemical fixation effects in human cell lines using Raman microspectroscopy, Anal Bioanal Chem, 396(2010)1781-1791.
  3. Krishna C M, Sockalingum G D, Vadhiraja B M, Maheedhar K, Rao A C, Rao L, Venteo L, Pluot M, Fernandes D J, Vidyasagar M S, Kartha V B, Manfait M, Vibrational spectroscopy studies of formalin-fixed cervix tissues, Biopolymers, 85(2007)214-221.
  4. Draux F, Jeannesson P, Beljebbar A, Tfayli A, Fourre N, Manfait M, Sulé-Suso J, Sockalingum G D, Raman spectral imaging of single living cancer cells: a preliminary study, Analyst, 134(2009)542-548.
  5. Draux F, Gobinet C, Sulé-Suso J, Manfait M, Jeannesson P, Sockalingum G D, Raman imaging of single living cells: probing effects of non-cytotoxic doses of an anti-cancer drug, Analyst, 136(2011)2718-25.
  6. Chan K L A, Fale P L V, Atharawi A, Wehbe K, Cinque G, Subcellular mapping of living cells via synchrotron micro FTIR and ZnS hemispheres, Anal Bioanal Chem, 410(2018)6477-6487.
  7. Chan K L A, Altharawi A, Fale P, Song C L, Kazarian S G, Cinque G, Untereiner V, Sockalingum G D, Transmission Fourier transform infrared spectroscopic imaging, mapping, and synchrotron scanning microscopy with zinc sulfide hemispheres on living mammalian cells at sub-cellular resolution, Appl Spectrosc, 74(2020)544-552.
  8. Krishna C M, Sockalingum G D, Kurien J, Rao L, Venteo L, Pluot M, Manfait M, Kartha V B, Micro-Raman spectroscopy for optical pathology of oral squamous cell carcinoma, Appl Spectrosc, 58(2004)1128-35.
  9. Bergholt M S, Serio A, Albro M B, Raman Spectroscopy: Guiding Light for the Extracellular Matrix, Front Bioeng Biotechnol, 7(2019)303; doi.org/10.3389/fbioe.2019.00303.
  10. Féré M, Gobinet C, Liu LH, Beljebbar A, Untereiner V, Gheldof D, Chollat M, Klossa J, Chatelain B, Piot O, Implementation of a classification strategy of Raman data collected in different clinical conditions: application to the diagnosis of chronic lymphocytic leukemia, Anal Bioanal Chem, 412(2020)949-962.
  11. Brézillon S, Untereiner V, Mohamed HT, Hodin J, Chatron-Colliet A, Maquart FX, Sockalingum GD, Probing glycosaminoglycan spectral signatures in live cells and their conditioned media by Raman microspectroscopy, Analyst, 142(2017)1333-1341.
  12. Bonifacio A, Beleites C, Vittur F, Marsich E, Semeraro S, Paoletti, S, Valter S, Chemical imaging of articular cartilage sections with Raman mapping, employing uni- and multi-variate methods for data analysis, Analyst, 135(2010)3193-3204.
  13. Choe C, Schleusener J, Choe S, Lademann J, Darvin M E. A modification for the calculation of water depth profiles in oil-treated skin by in vivo confocal Raman microscopy, J Biophotonics, 13(2020)e201960106; doi.org/10.1002/jbio.201960106.
  14. Mayne S T, Cartmel B, Scarmo S, Jahns L, Ermakov IV, Gellermann W. Resonance Raman spectroscopic evaluation of skin carotenoids as a biomarker of carotenoid status for human studies, Arch Biochem Biophys, 539(2013)163–170.
  15. Chan G M, Chan M M, Gellermann W, Ermakov I, Ermakova M, Bhosale P, Bernstein P, Rau C, Resonance Raman spectroscopy and the preterm infant carotenoid status, J Pediatr Gastroenterol Nutr, 56(2013)556–559.
  16. D’Amico F, Zucchiatti P, Latella K, Pachetti M, Gessini A, Masciovecchio C, Vaccari L, Pascolo L. Investigation of genomic DNA methylation by ultraviolet resonant Raman spectroscopy, J Biophotonics, 13(2020)e202000150; doi.org/10.1002/jbio.202000150.
  17. Geng J, Aioub M, El-Sayed MA, Barry BA. An Ultraviolet Resonance Raman Spectroscopic Study of Cisplatin and Transplatin Interactions with Genomic DNA, J Phys Chem B, 121(2017)8975–8983.
  18. Choquette S J, Standard reference materials for relative intensity correction of Raman spectrometers, American Laboratory, 37(2005)117–129.
  19. Etz E S, Choquette S J, Hurst W S, Development and certification of NIST standard reference materials for relative Raman intensity calibration, Microchim Acta, 149(2005)175–184.
  20. Choquette S J, Etz E S, Hurst W S, Blackburn D H, Leigh S D, Relative intensity correction of Raman spectrometers: NIST SRMs 2241 through 2243 for 785 nm, 532 nm, and 488 nm/514.5 nm excitation, Appl Spectrosc, 61(2007)117–129.
  21. Gobinet C, Vrabie V, Manfait M, Piot O, Preprocessing methods of Raman spectra for source extraction on biomedical samples: application on paraffin-embedded skin biopsies, IEEE Trans Biomed Eng, 56(2009)1371–1382.
  22. Guo S, Beleites C, Neugebauer U, Abalde-Cela S, Afseth NK, Alsamad F, Anand S, Araujo-Andrade C, Askrabic S, Avci E, Comparability of Raman spectroscopic configurations: A large scale cross-laboratory study, Anal Chem, 92(2020)15745–15756.
  23. Eklouh-Molinier C, Gaydou V, Froigneux E, Barlier P, Couturaud V, Manfait M, Piot O, In vivo confocal Raman microspectroscopy of the human skin: highlighting of spectral markers associated to aging via a research of correlation between Raman and biometric mechanical measurements, Anal Bioanal Chem, 407(2015)8363–8372.
  24. Alsamad F, Gobinet C, Vuiblet V, Jaisson S, Piot O, Towards normalization selection of Raman data in the context of protein glycation: application of validity indices to PCA processed spectra, Analyst, 145(2020)2945–2957.
  25. Bocklitz T, Walter A, Hartmann K, Rösch P, Popp J, How to pre-process Raman spectra for reliable and stable models?, Anal Chim Acta, 704(2011)47–56.
  26. Liland K H, Kohler A, Afseth N K, Model-based pre-processing in Raman spectroscopy of biological samples, J Raman Spectrosc, 47(2015)643–650.
  27. Guo S, Bocklitz T, Popp J, Optimization of Raman-spectrum baseline correction in biological application, Analyst, 141(2016)2396–2404.
  28. Nguyen T N Q, Jeannesson P, Groh A, Piot O, Guenot D, Gobinet C, Fully unsupervised inter-individual IR spectral histology of paraffinized tissue sections of normal colon, J Biophotonics, 9(2016)521–532.
  29. Happillon T, Untereiner V, Beljebbar A, Gobinet C, Daliphard S, Cornillet-Lefebvre P, Quinquenel A, Delmer A, Troussard X, Klossa J, Diagnosis approach of chronic lymphocytic leukemia on unstained blood smears using Raman microspectroscopy and supervised classification, Analyst, 140(2015)4465–4472.
Asian Journal of Physics Vol. 30, No 3 (2021) 427-444

Recent progress in tissue enhanced spectroscopy for cancer detection

Valery V Tuchin1,2,3 and Luís M Oliveira4,5
1Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov, Russian Federation.
2Interdisciplinary Laboratory of Biophotonics, National Research Tomsk State University, Tomsk, Russian Federation.
3Laboratory of Laser Diagnostics of Technical and Living Systems, Institute of Precision Mechanics and Control of the Russian Academy of Sciences, Saratov, Russian Federation.
4Department of Physics, Polytechnic Institute of Porto – School of Engineering, Porto, Portugal.
5Centre of Innovation in Engineering and Industrial Technology, Polytechnic of Porto – School of Engineering, Porto, Portugal.
Dedicated to Professor Prof V B Kartha, FNA

Spectroscopy methods can be used for pathology identification and monitoring, but their applications are limited by light scattering if the disease is located in deeper tissue layers. The first study presented in this paper shows that the simple application of spectroscopy measurements allows colorectal cancer discrimination through the identification of different pigment content in normal and diseased tissues. The other two studies demonstrate that by combining sensitive spectroscopy measurements in a wide spectral range with optical clearing (OC) treatments is also useful for cancer discrimination. In the second study, by using spectral collimated transmittance (Tc) measurements during OC treatments, it was possible to estimate the diffusion coefficient of glucose in normal and pathological colorectal mucosa as: Dglucose=5.8×10-7 cm2/s and Dglucose=4.4×10-7 cm2/s, respectively. An additional result of this study shows that the mobile water content is about 5% higher in pathological mucosa. In the third study, by analyzing the OC efficiency in the deep UV range, it was possible to obtain different protein dissociation rates in normal (27.4) and pathological (79.1) mucosa tissues at 93%-glycerol treatment. Such methods can be applied to study other types of cancer or other diseases, and their conversion into noninvasive procedures, based on diffuse reflectance spectroscopy, is to be expected. © Anita Publications. All rights reserved.
Keywords: Enhanced Tissue Spectroscopy, Colorectal Cancer, Tissue Optical Clearing, Optical Clearing Mechanisms, Optical Clearing Agents.

  1. Seyfried T N, Flores R E, Poff A M, D’Agostino D P, Cancer as a metabolic disease: implications for novel therapeutics, Carcinogenesis, 35(2014)515–527.
  2. Sporn M B, The war on cancer, The Lancet, 347(1996)1377–1381.
  3. Lichtenstein A V, Strategies of the war in cancer: to kill or to neutralize?, Front Oncol, 8(2019)667-1-5; doi.org/10.3389/fonc.2018.00667.
  4. Seyfried T N, Cancer As a Metabolic Disease: On the Origin, Management, and Prevention of Cancer, (John Wiley & Sons, Hoboken, New Jersey, USA), 2012.
  5. Fidler I J, The pathogenesis of cancer metastasis: the ‘seed and soil’ hypothesis revisited, Nat Rev Cancer, 3(2003)453–458.
  6. Gupta G P, Massagué J, Cancer metastasis: building a framework, Cell, 127(2006)679–695.
  7. Lazebnik Y, What are the hallmarks of cancer?, Nat Rev Cancer, 10(2010)232–233.
  8. Tarin D, Cell and tissue interactions in carcinogenesis and metastasis and their clinical significance, Semin Cancer Biol, 21(2011)72–82.
  9. Parkin D M, Stjernswärd J, Muir C S, Estimates of the worldwide frequency of twelve major cancers, Bull World Health Organiz, 62(1984)163–182.
  10. Tuchin V V, Popp J, Zakharov V, (Eds), Multimodal Optical Diagnostics of Cancer, (Springer Nature Switzerland), 2020.
  11. Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin D M, Forman D, Bray F, Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012, Int J Cancer, 136(2015)E359–E386.
  12. Bray F, Ferlay J, Soerjomataram I, Siegel R, Torre L A, Jemal A, Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries, CA Cancer J Clin, 68(2018)394–424.
  13. Oliveira L, Tuchin V V, Optical clearing for cancer diagnostics and monitoring, in Tissue optical clearing: new prospects in optical imaging, D Zhu, E Genina, V Tuchin, (eds), (CRC Press), 2021.
  14. Oliveira L, Tuchin V V, The Optical Clearing Method – A New Tool for Clinical Practice and Biomedical Engineering, (Springer, Cham-Switzerland), 2019.
  15. Zhou Y, Yao J, Wang L V, Tutorial on photoacoustic tomography, J Biomed Opt, 21(2016)061007; doi.org/10.1117/1.JBO.21.6.061007.
  16. Tuchin V V, Tissue Optics – Light Scattering Methods and Instruments for Medical Diagnostics, 3rd edn, (SPIE Press Bellingham, WA, USA), 2015.
  17. Carvalho S, Carneiro I, Henrique R, Tuchin V, Oliveira L, Lipofuscin-type pigment as a marker of colorectal cancer, Electronics, 9(2020)1805; doi.org/10.3390/electronics9111805.
  18. Tuchin V V, Optical Clearing of Tissues and Blood, (SPIE Press, Bellingham, USA), 2006.
  19. Genina E A, Oliveira L M, Bashkatov A N, Tuchin V V, Optical Clearing of Biological Tissues: Prospects of Application for Multimodal Malignancy Diagnostics, in Multimodal Optical Diagnostics of Cancer, (eds), V V Tuchin, J Popp, V Zakharov, (Springer Nature, Switzerland), 2020.
  20. Carneiro I, Carvalho S, Henrique R, Selifonov A, Oliveira L, Tuchin V V, Enhanced ultraviolet spectroscopy by optical clearing for biomedical applications, IEEE J Sel Top Quant Elect, 27(2021)7200108; 10.1109/JSTQE.2020.3012350.
  21. Gomes N, Tuchin V V, Oliveira L M, Refractive index matching efficiency in colorectal mucosa treated with glycerol, IEEE J Sel Top Quant Elect, 27(2021)7200808; doi.10.1109/JSTQE.2021.3050208.
  22. Oliveira L, Carvalho M I, Nogueira E, Tuchin V V, Skeletal muscle dispersion (400-1000nm) and kinetics at optical clearing, J Biophot, 11(2018)e20170094; doi.org/10.1002/jbio.201700094.
  23. Oliveira L, Lage A, Pais Clemente M, Tuchin V V, Rat muscle opacity decrease due to the osmosis of a simple mixture, J Biomed Opt, 15(2010)055004; doi.org/10.1117/1.3486539
  24. Oliveira L, Lage A, Pais Clemente M, Tuchin V V, Optical characterization and composition of abdominal wall muscle from rat, Opt Laser Eng, 47(2009)667-672.
  25. Wen X, Mao Z, Han Z, Tuchin V V, Zhu D, In vivo skin optical clearing by glycerol solutions: mechanism, J Biophot 3(2010)44-52.
  26. Zhu D, Larin K V, Luo Q, Tuchin V V, Recent progress in tissue optical clearing, Las Phot Rev 7(2013)732-757.
  27. Tuchina D K, Meerovich I G, Sindeeva O, Zherdeva V V, Savitsky A P, Bogdanov Jr A A, Tuchin V V, Magnetic resonance contrast agents in optical clearing: prospects for multimodal tissue imaging, J Biophot, 13(2020)e201960249; doi.org/10.1002/jbio.201960249.
  28. Sdobnov A Y, Darvin M E, Schleusener J, Lademann J, Tuchin V V, Hydrogen bound water profiles in the skin influenced by optical clearing molecular agents – quantitative analysis using confocal Raman microscopy, J Biophot 12(2019)e201800283; doi.org/10.1002/jbio.201800283.
  29. Choe C-S, Lademann J, Darvin M E, Depth profiles of hydrogen bound water molecule types and their relation to lipid protein interaction in the human stratum corneum in vivo, Analyst, 141(2016)6329–6337.
  30. Yu T, Zhu D, Oliveira L, Genina E, Bashkatov A, Tuchin V V, Tissue optical clearing mechanisms, in Tissue optical clearing: new prospects in optical imaging, D Zhu, E Genina, V Tuchin, (Eds), (CRC Press), 2021.
  31. Oliveira L M, Carvalho M I, Nogueira E M, Tuchin V V, Diffusion characteristics of ethylene glycol in skeletal muscle, J Biomed Opt, 20(2015)051019; doi.org/10.1117/1.JBO.20.5.051019.
  32. Oliveira L, Carvalho M I, Nogueira E M, Tuchin V V, Optical clearing mechanisms characterization in muscle, J Innov Opt Health Sci, 9(2016)1650035; doi.org/10.1142/S1793545816500358
  33. Oliveira L M, Carvalho M I, Nogueira E M, Tuchin V V, The characteristic time of glucose diffusion measured for muscle tissue at optical clearing, Laser Phys 23(2013)075606;doi.org/10.1088/1054-660X/23/7/075606.
  34. Carneiro I, Carvalho S, Henrique R, Oliveira L, Tuchin V V, A robust ex vivo method to evaluate the diffusion properties of agents in biological tissues, J Biophot 12(2019)e201800333; doi.org/10.1002/jbio.201800333.
  35. Hirshburg J, Choi B, Nelson J S, Yeh A T, Correlation between collagen solubility and skin optical clearing using sugars, Las Surg Med, 39(2007)140–144.
  36. Genina E A, Bashkatov A N, Tuchin V V, Tissue optical immersion clearing, Expert Rev Med Devices, 7(2010)825–842.
  37. Cicchi R, Sampson D, Massi D, Pavone F S, Contrast and depth enhancement in two-photon microscopy of human skin ex vivo by use of optical clearing agents, Opt Express, 13(2005)2337–2344.
  38. Carvalho S, Gueiral N, Nogueira E, Henrique R, Oliveira L, Tuchin V V, Glucose Diffusion in colorectal mucosa – a comparative study between normal and cancer tissues, J Biomed Opt, 22(2017)091506; doi.org/10.1117/1.JBO.22.9.091506.
  39. Tuchina D K, Bashkatov A N, Bucharskaya A B, Genina E A, Tuchin V V, Study of glycerol diffusion in skin and myocardium ex vivo under the conditions of developing alloxan-induced diabetes, J Biomed Phot Eng, 3(2017)020302; doi 10.18287/JBPE17.03.020302.
  40. Yeh A, Choi B, Nelson J S, Tromberg B J, Reversible dissociation of collagen in tissues, J Invest Dermatol 121(2003)1332–1335.
  41. Hirshburg J, Choi B, Nelson J S, Yeh A T, Collagen solubility correlates with skin optical clearing, J Biomed Opt 11(2006)040501; doi.org/10.1117/1.2220527.
  42. Hirshburg J, Ravikumar K M, Hwang W, Yeh A T, Molecular basis for optical clearing of collagenous tissues, J Biomed Opt, 15(2010)055002; doi.org/10.1117/1.3484748.
  43. Carneiro I, Carvalho S, Henrique R, Oliveira L, Tuchin V V, Moving tissue spectral window to the deep-ultraviolet via optical clearing, J Biophiot 12(2019)e201900181; doi.org/10.1002/jbio.201900181.
  44. Peña-Llopis S, Brugarolas J, Simultaneous isolation of high-quality DNA, RNA, miRNA and proteins from tissues for genomic applications, Nat Protocols, 8(2013)2240–2255.
  45. Bashkatov A N, Genina E A, Kochubey V I, Tuchin V V, Chikina E E, Knyazev A B, Mareev O V, Optical properties of mucous membrane in the spectral range 350-2000 nm, Opt Spect, 97(2004)1043–1048.
  46. Brescia P, “Micro-volume purity assessment of nuclei acids using A260/A280 ratio and spectral scanning protein and nucleic acid quantification”, http://www.biotek.com/resources/application-notes/micro-volume-purity-assessment-of-nucleic-acids-using-asub260/sub/asub280/sub-ratio-and-spectral-scanning/, (accessed: November, 2020).
  47. Johansson J D, Wårdell K, Intracerebral quantitative chromophore estimation from reflectance spectra captured during deep brain stimulation implantation, J Biophot, 6(2013)435–445.
  48. Carvalho S, Gueiral N, Nogueira E, Henrique R, Oliveira L, Tuchin V, Comparative study of the optical properties of colon mucosa and colon precancerous polyps between 400 and 1000 nm, in SPIE Proceedings of BIOS-Photonics West 2017: Dynamics and Fluctuations in Biomedical Photonics, Tuchin V V, Larin K V, Leahy M J, Wang R K, (Eds), (SPIE: Bellingham, WA, USA), SPIE PROC vol 10063, p. 10063, 2017.