Applications in biological samples

Dynamic Laser Speckle and Applications

Volumn , Issue , 2008, Pages 181-220

  Braga, Roberto A ^a   Rabelo, Giovanni F ^a   Barreto Filho, Joao Bosco ^a   Borém, Flávio M ^a   Pereira, Joelma ^a   Muramatsu, Mikiya ^b   Dal Fabbro, Inácio Maria ^c  

^a FEDERAL UNIVERSITY OF LAVRAS   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

^c UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84884498664     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (88)

1. Briers, J. D., Wavelength dependence of intensity fluctuations in laser speckle patterns form biological specimens, Opt. Comm., 13, 324, 1975.
2. Goodman, J. W., Speckle Phenomena in Optics. Roberts & Company, Englewood, 2007.
3. Bergkvist, A., Biospeckle-based study of the line profile of light scattered in strawberries, Master Degree, Faculty of Technology at Lund University, Lund, 1997.
4. Briers, J. D., Speckle Fluctuations and Biomedical Optics: Implications and Applications, Opt Eng., 32, 277, 1993.
5. Xu, Z., Joenathan, C., and Khorana, B. M., Temporal and spatial properties of the time varying speckles of botanical specimens, Opt. Eng., 34, 1487, 1995.
6. Rabelo, G. F. et al., Laser speckle techniques applied to study quality of fruits, Rev. Bras. Eng. Agr. Amb., 9, 570, 2005.
7. Pajuelo, M. et al., Bio-speckle assessment of bruising in fruits, Opt. Lasers Eng., 40, 13, 2003.
8. Marcos Filho, J., Testes de Vigor: Importância e Utilização, in Vigor de sementes: conceitos e testes, Krzyzanowski, F. C., Vieira, R. D., and França Neto, J. B., ABRATES, Londrina, 1999.
9. Basu, R. N., Seed Viability, in Seed Quality: Basic Mechanisms and Agricultural Implications, Basra, A. S., Ed., Food Products Press, New York, 1994, Chapter 1.
10. Hampton, J. G. et al., Quality seed—From production to evaluation, Seed Sc. Tech., 24, 393, 1996.
11. Neurohr, R. et al., Photon emission—A new method for scanning the quality of food, Deut. Leb. Rund., 87, 78, 1991.
12. Howarth, M. S. and Stanwood, P. C., Tetrazolium staining viability seed test using color image processing, Trans. ASAE, 36, 1937, 1993.
13. Carvalho, M. L. M. et al., Pre-harvest stress cracks in maize (Zea mays L.) kernels as characterization by visual, X-ray and low temperature scanning electron microscopical analysis: Effect on kernel quality, Seed Sci. Res., 9, 227, 1999.
14. Fennema, O. R. Química de los alimentos. Zaragoza: Acribia, 1993. 1095 pp.
15. Multon, J. L., Basics of moisture measurement in grain, in Uniformity by 2000, Hill, L. D., Ed., Scherer Communications, Urbana, 2000, Chapter 5.
16. Taiz, L. and Zeiger, E., Plant Physiology, The Benjamin, Redwood City, 1991, 565 pp.
17. Campbell, M. K., Bioquímica., Third edition, Artmed, Porto Alegre, 2000. 752 pp.
18. Némethy, G. and Scheraga, H. A., The structure of water and hydrophobic bonding in proteins, J. Phys. Chem., 66, 1773, 1962.
19. Braga, R. A. et al., Seeds characterization by dynamic speckle patterns: A proposal, in Biological Quality and Precision II SPIE, Boston, 2000.
20. Rodrigues, S. et al., Efeito da umidade na determinação da atividade biológica de sementes de feijão (Phaseolus vulgaris L.) utilizando imagens de speckle dinâmico, R. Bras. Armaz., 30(2), 135, 2005.
21. Braga, R. A., Jr. et al., Assessment of seed viability by laser speckle techniques, Biosys. Eng., 86(3), 287, 2003.
22. Labuza, T. P., Properties of water as related to the keeping quality of foods in Proceedings of the Third International Congress of Food Science and Technology. Washington, 1970, 618.
23. Fontana, A. J., Water activity: Why it is important for food safety, in Proceedings of the First NSF International Conference on food Safety, Albuquerque, 1998, 177.
24. Fennema, O. R., Food Chemistry, second edition, Marcell Dekker, New York, 1985, 46.
25. ISTA. International Seed Testing Association. International Rules for Seed Testing. Iguaçu Falls, 2008.
26. BRASIL. Ministério da Agricultura e da Reforma Agrária. Regras para análise de sementes. Brasília: SNDA/DNDV/CLAV, 1992. 365 pp.
27. Braga, R. A. et al., Avaliação da influência da umidade de sementes de feijão (Phaseolus vulgaris L.) na análise pela técnica do bio-speckle laser, Eng. Agríc., 21(1), 101, 2001.
28. Braga, R. A. et al. Uso do bio-speckle laser como quantificador de atividade biológica— medidor de umidade, identificador de fungos em sementes e quantificador de atividade em sêmen animal ou humano, BR. Patent PI,0,301,926,8, 2003.
29. Rabal, H. J. et al., Laser na Agricultura, in Energia, Automação e Instrumentação, XXVII CONBEA, SBEA, Poços de Caldas, 1998.
30. Arizaga, R., Trivi, M. R. and Rabal, H. J., Speckle time evoluation characterization by co-ocorrence matrix analsis, Opt. Laser Tech., 4(3), 1, 1999.
31. Braga, R. A. et al., Potencial do bio-speckle laser para avaliação da viabilidade de sementes, Ciên. Agrotec., 25(3), 645, 2001.
32. Braga, R. A., Bio-speckle: uma contribuição para o desenvolvimento de uma tecnologia aplicada à análise de sementes, Dr. thesis, Universidade Estadual de Campinas, Campinas, 2000.
33. Enes, A. M. et al., Biospeckle laser em tecidos vivos e tecidos mortos de sementes de feijão (Phaseolus vulgaris L.) durante a perda de água, in XXXIV Congresso Brasileiro de Engenharia Agrícola, SBEA, Canoas, 2005.
34. Gonik, M. M., Mishin, A. B., and Zimnyakov, D. A., Visualization of blood microcircultion parameters in human tissues by time-integrated dynamic speckles analysis, Ann. New York Acad. Sc., 972, 325, 2002.
35. Sendra, G. H. et al., Decomposition of biospeckle images in temporary spectral bands, Opt. Letters 30 (13), 1641, 2005.
36. Watanabe, Y., Wakisaka, Y., and Hitomi, H., Method for improving germination of hard seed by laser beam irradiation and germination improved seed, E.P. Patent 1,568,264, A1, 2005.
37. Braga, R. A. et al., Detection of fungi in beans by the laser biospeckle technique, Biosys. Eng., 91, 465, 2005.
38. Enes, A. M. et al., Frequency analysis of the biospeckle laser, in 6th Ibero-American Conference on Optics, RIAO Campinas 2007, 152.
39. Reddy, G. K., Photobiological basis and clinical role of low-intensity lasers in biology and medicine, Lasers Surg. Med., 22(2), 141, 2004.
40. Stergioulas, A., Low-level laser treatment can reduce edema in second degree ankle sprains, Lasers Surg. Med., 22(2), 125, 2004.
41. Gouw-Soares, S. et al., Comparative study of dentine permeability after apicectomy and surface treatment with 9.6 microm TEA CO2 and Er:YAG laser irradiation, Lasers Surg. Med., 22(2), 129, 2004.
42. Taha, M. F. and Valojerdi, M. R., Quantitative and qualitative changes of the seminiferous epithelium induced by Ga. Al. As. (830 nm) laser radiation, Lasers Surg. Med., 34(4), 352, 2004.
43. Johnson, L. A. and Welch, G. R., Sex preselection: high—Speed flow cytometric sorting of X and Y sperm for maximum efficiency, Theriogen., 52(8), 1323, 1999.
44. Welch, G. R. and Johnson, L. A., Sex preselection: Laboratory validation of the sperm sex ratio of flow sorted X- and Y-sperm by sort reanalysis for DNA, Theriogen., 52(8), 1343, 1999.
45. Nascimento, J. M. et al., Analysis of sperm motility using optical tweezers, J. Biomed. Opt., 11(5), 44001, 2006.
46. Urban, C. and Seitz, P., Measuring apparatus for measuring concentration and motility of light scattering particles, has cross correlator for receiving signals from photodetectors and processing mechanism for deriving components of velocity distribution, Patent EP1464966-A1, 2004.
47. Eskov, A. P., Arefev, I. M. and Gurilev, O. M., Laser semen mobility and activity analyser— Has output from photoreceiver converted into pulses for count divided to record proportion of mobile spermatozoids multiplied by velocity, Patent SU1154619-A, 1985.
48. Woolhouse, J. K. and Woolford, M. W., Artificial insemination sperm motility measurement method—Carrying out frequency-amplitude analysis in time domain using filters and integrating filtered output, Patents EP95386-A; AU8314977-A; CA1201301-A; US4601578-A; EP95386-B; DE3374083-G,1982.
49. Cirillo, F. and Scotti, C., Seminal liquid spermatozoa mobility and concentration evaluating devices—Uses laser light and optical arrangement with reflecting and/or refracting components to split beam, Patent EP69092-A; IT1171329-B, 1981.
50. Fuhrberg, P. and Feichtinger, W., Micro-manipulation system for in vitro fertilisation— and uses laser beam for local treatment of egg cell pellicule. Patents EP539660-A; EP539660-A2; EP539660-A3; EP539660-B1; DE59208545-G, 1992.
51. Galli, A. et al., Producing high-genetic value embryos of specified sex, comprises thawing frozen solution of genetically-selected spermatozoa, sorting them into subpopulations, and fertilizing oocytes with subpopulation in vitro, Patent WO200151612-A; EP1255812-A; WO200151612-A1; FR2806441-A3; AU200130176-A; EP1255812-A1; KR2002079850-A; IT1317724-B, 2000.
52. Owen, D. H. and Katz, D. F., A review of the physical and chemical properties of human semen and the formulation of a semen simulant, J. Andr., 26(4), 459, 2005.
53. HAFEZ, ESE. Reproduction in Farm Animals, sixth edition, Lea and Febiger, Philadelphia, 1993.
54. World Health Organization (WHO), Laboratory Manual for the Examination of Human Semen and Sperm-Cervical Mucus Interaction, fourth edition, Cambridge University Press, New York, 1999.
55. Henry, M. R. J. M. and Neves, J. P., Manual para Exame Andrológico e Avaliação de Sêmen Animal, second edition, Colégio Brasileiro de Reprodução Animal; Belo Horizonte, 1998.
56. Gravance, C. G, Champion, Z. J., and Casey, P. J., Computer-assisted sperm head morphometry analysis (ASMA) of cryopreserved ram spermatozoa. Theriogen., 49, 1219, 1998.
57. Gravance, C. G. et al., Replicate and technician variation associated with computer aided bull sperm head morphometry analysis (ASMA), Inter. Jour. Andr., 22, 77, 1999.
58. Gravance, C. G., Lewis, K. M., and Casey, P. J., Computer automated sperm head morphometry analysis (ASMA) of goat spermatozoa, Theriogen., 44, 989, 1995.
59. Rijsselaere, T. et al., Automated sperm morphometry and morphology analysis of canine semen by the Hamilton-Thorne analyzer, Theriogen., 62, 1292, 2004.
60. MIES FILHO, A. Reprodução dos Animais e Inseminação Artificial, fifthe edition. Porto Alegre, 1983.
61. Rothschild, L., The activity of ram spermatozoa, J. Exp. Bio., 25(3), 219, 1948.
62. Pomarico, J. A. and DiRocco, H. O., Compact device for assessment of microorganism motility, Rev. Sci. Instr., 75, 4727, 2004.
63. Fujii, H. et al. Evaluation of blood flow by laser speckle image sensing, Appl. Opt., 26, 5321, 1987.
64. Bray, R. C., et al. Endoscopic laser speckle imaging of tissue blood flow: Aplication in the human knee, J. Orthop. Res., 24, 1650, 2006.
65. Konishi, N. and Fujii, H., Real-time visualisation of retinal microcirculation by laser flowgraphy, Opt. Eng., 34(3), 753, 1995.
66. Li, N. et al., Cortical vascular blood flow pattern by laser speckle imaging, in 27th Annual International Conference of the Engineering in Medicine and Biology Society, Hopkins, J., Ed., Baltimore, 2005, 3328.
67. Winchester, L. W. and Chou, N. Y., Blood velocity measurements using laser speckle imaging, in 26th Annual International Conference, IEEE EMBS, San Francisco, 2004, 1252.
68. Li, P. et al., Imaging cerebral blood flow through the intact rat skull with temporal laser speckle imaging, Opt. Let., 31(12), 1824, 2006.
69. Dunn, A. K. et al., Simultaneous imaging of total cerebral hemoblobin concentration, oxygenation, and blood flow during functional activation, Opt. Let., 28(1), 28, 2003.
70. Cheng, H. et al. Efficient characterization of regional mesenteric blood flow by use of laser speckle imaging, Appl. Opt., 42(28), 5759, 2003.
71. Pop, C. V. L., Vamos, C., and Turcu, I., Fluctuations of light scattered on human erythrocytes— A statistical analysis, Rom. Jour. Phys., 50(9), 1207, 2005.
72. Fujii, H. et al., T., Blood flow observed by time-varying laser speckle, Opt. Let., 10(3), 104, 1985.
73. Tearney, G. J. and Bouma, B. E., Atherosclerotic plaque characterization by spatial and temporal speckle pattern analysis, Opt. Let., 27(7), 533, 2002.
74. Aizu, Y. and Asakura, T., Bio-speckle phenomena and their application to the evaluation of blood flow, Opt. Laser Tech., 23, 205, 1991.
75. Zhao, Y. et al., Point-wise and whole-field laser speckle intensity fluctuation measurements applied to botanical specimens, Opt. Lasers Eng., 28, 443, 1997.
76. Forrester, K. R. et al., Endoscopic laser imaging of tissue perfusion: New instrumentation and technique, Lasers Surg. Med., 33, 151, 2003.
77. Stewart, C. J. et al., A comparison of two laser-based methods for determining of burn scar perfusion: Laser doppler versus laser speckle imaging, Burns, 31, 744, 2005.
78. Zimnyakov, D. A. et al. Monitoring of tissue thermal modification with a bundlebased full-field speckle analyzer, Appl. Opt., 45, 4480, 2006.
79. Kruijt, B. et al., Laser speckle imaging of dynamic changes in flow during photodynamic therapy, Lasers Med. Sc., 21, 208, 2006.
80. Serov, A. and Lasser, T., High-speed laser Doppler perfusion imaging using an integrating CMOS image sensor, Opt. Exp., 13(17), 6416, 2005.
81. Wardell, K., Jakobsson, A., and Nilsson, G. E., Laser Doppler perfusion imaging by dynamic light scattering, IEEE Trans. Biomed. Eng., 40(4), 1993.
82. Rajan, V. et al., Speckles in laser Doppler perfusion imaging, Opt. Let., 31(4), 468, 2006.
83. Serov, A. N. et al., Laser Doppler perfusion imaging using a CMOS image sensor EP 1332718, 2003.
84. Ribeiro, K. M., Efeito da composição nas isotermas de sorção e características do biscoito de polvilho. MS degree, Universidade Federal de Lavras, Lavras, 2006.
85. Silva, W. A., Elaboração e caracterização de biofilmes obtidos de diferentes fontes de amigo. MS degree, Universidade Federal de Lavras, Lavras, 2005.
86. Novales, B., et al., Characterization of emulsions and suspensions by video image analysis, Colloids Surf. A Physicochem. Eng. Asp., 221, 81, 2003.
87. Granger, C. et al., Influence of formulation on the structural network in ice cream, Int.
88. Dairy J., 15, 255, 2005.