Lasers in Medical Science

, Volume 34, Issue 6, pp 1167–1176 | Cite as

Monitoring of functional blood flow on human hand due to effect of different treatments by laser biospeckle imaging

  • Shubhashri Kumari
  • Anil Kumar NiralaEmail author
Original Article


In the proposed work, we report on qualitative as well as quantitative biospeckle monitoring of functional blood flow on the human hand. Intensity-based algorithms namely generalized difference and our earlier proposed algorithm parameterized global-average Fujii have been approached for the first time to analyze various physiological changes due to effect of different treatments such as hot and cold water treatments on the palm which can be helpful in examining cardiovascular and related diseases. In addition, blood flow has been monitored for the first time on face scrub, beauty creams, and pain relief ointments applied over the back of the palm. It has been found that, on application of four beauty creams namely Fair & Lovely, Ponds White Beauty, Vicco Turmeric, and Lotus Herbals Safe Sun on the back of the palm, blood flow increases and becomes highest (mean activity, 154.87) for Fair & Lovely among the four beauty creams. In addition, pain relief ointments such as Volini, Fast Relief, Molid Gel, and Zandu Gel increase blood flow after their applications on the back of the palm and Volini gives maximum increase of average blood flow (31.59) and hence can be considered one of the best among the four ointments. It has been further concluded that the person having more hemoglobin (14) and higher blood pressure (120/90) may have more blood flow or mean activity (85.80). In addition, it has been also concluded that although hot and cold water treatments can be used for increment in blood flow, temperature should be retained according to need and sensitivity of the sample.


Laser biospeckle imaging Functional blood flow Intensity-based algorithms Cardiovascular disease 



Authors are sincerely thankful to all the volunteers especially to Dr. T. Santosh Kumar (Post-doctoral fellow), N. Zabeen, C. Koley, Atul Kumar, and B. Mohanty (Research Scholar, Appl. Physics, IIT (ISM) Dhanbad) for their constant help during the experiment.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

We certify that, although the research has been carried out on the human hand, no harmful treatment has been done. All the volunteers were healthy and all the treatments done on them were safe and non-destructive, and hence ethical approval is not needed for this study.

Informed consent

Informed consent was received from all individual volunteers in the study.


  1. 1.
    Abbiss JB, Chubb TW, Pike ER (1974) Laser Doppler anemometry. Opt Laser Technol 6:249–261CrossRefGoogle Scholar
  2. 2.
    Briers JD (1994) Laser speckle techniques in biology and medicine. Proc SPIE 2083:238–249CrossRefGoogle Scholar
  3. 3.
    Forrester KR, Stewart C, Tulip J et al (2002) Comparison of laser speckle and laser Doppler perfusion imaging: measurement in human skin and rabbit articular tissue. Med Biol Eng Comput 40:687–697CrossRefPubMedGoogle Scholar
  4. 4.
    Forrester KR, Tulip J, Leonard CS et al (2004) A laser speckle imaging technique for measuring tissue perfusion. IEEE Trans Biomed Eng 51(11):2074–2084CrossRefGoogle Scholar
  5. 5.
    Pieczywek PM, Nowacka M, Dadan M et al (2018) Postharvest monitoring of tomato ripening using the dynamic laser speckle. Sensors 18(1–20):1093CrossRefGoogle Scholar
  6. 6.
    Nassif R, Nader CA, Afif C et al (2014) Detection of Golden apples’ climacteric peak by laser biospeckle measurements. Appl Opt 53:8276–8282CrossRefPubMedGoogle Scholar
  7. 7.
    Samuel B, Retheesh R, Ansari MZ et al (2017) Cross-correlation and time history analysis of laser dynamic specklegram imaging for quality evaluation and assessment of certain seasonal fruits and vegetables. Laser Phys 27:105601CrossRefGoogle Scholar
  8. 8.
    Ansari MZ, Mujeeb A, Nirala AK (2018) Assessment of biological leaf tissue using biospeckle laser imaging technique. Laser Phys 28:065608 (8pp)CrossRefGoogle Scholar
  9. 9.
    Braga RA Jr, Fabbro IMD, Borem FM et al (2003) Assessment of seed viability by laser speckle techniques. Biosyst Eng 86:287–294CrossRefGoogle Scholar
  10. 10.
    Sierra-Sosa DS, Tebaldi M, Grumel E et al (2018) Localized analysis of paint-coat drying using dynamic speckle interferometry. Opt Lasers Eng 106:61–67CrossRefGoogle Scholar
  11. 11.
    Kumari S, Nirala AK (2018) Differentiation of the drying time of adhesives on plywoods through the dynamic speckle technique. Laser Phys 28:025605 (11pp)CrossRefGoogle Scholar
  12. 12.
    Qiu J, Li P, Luo W et al (2010) Spatiotemporal laser speckle contrast analysis for blood flow imaging with maximized speckle contrast. J Biomed Opt 15(1):1–5CrossRefGoogle Scholar
  13. 13.
    Ansari MZ, Nirala AK (2015) Monitoring capillary blood flow using laser speckle contrast analysis with spatial and temporal statistics. Optik 126:5224–5229CrossRefGoogle Scholar
  14. 14.
    Cheng H, Luo Q, Zeng S et al (2003) Modified laser speckle imaging method with improved spatial resolution. J Biomed Opt 8(3):559–564CrossRefPubMedGoogle Scholar
  15. 15.
    Ansari MZ, Grassi HC, Cabrera H et al (2016) Online fast biospeckle monitoring of drug action in Trypanosoma cruzi parasites by motion history image. Lasers Med Sci 31(7):1447–1454CrossRefPubMedGoogle Scholar
  16. 16.
    Zhang L, Ding L, Li M et al (2017) Dual-wavelength laser speckle contrast imaging (dwLSCI) improves chronic measurement of superficial blood flow in hands. Sensors 17(12):2811 (13pp)CrossRefGoogle Scholar
  17. 17.
    Arizaga R, Cap NL, Rabel HJ, Trivi M (2002) Display of local activity using dynamical speckle patterns. Opt Eng 41:287–294CrossRefGoogle Scholar
  18. 18.
    Kumari S, Nirala AK (2016) Biospeckle technique for the non-destructive differentiation of bruised and fresh regions of an Indian apple using intensity-based algorithms. Laser Phys 26:115601 (11pp)CrossRefGoogle Scholar
  19. 19.
    Iiyama J, Matsushita K, Tanaka N, Kawahira K (2008) Effects of single low-temperature sauna bathing in patients with severe motor and intellectual disabilities. Int J Biometeorol 52:431–437CrossRefPubMedGoogle Scholar
  20. 20.
    Weston M, Taber C, Casagranda L, Cornwall M (1994) Changes in local blood volume during cold gel pack application to traumatized ankles. J Orthop Sports Phys Ther 19:197–199CrossRefPubMedGoogle Scholar
  21. 21.
    Staessen JA, Li Y, Hara A et al (2017) Blood pressure measurement anno 2016. Am J Hypertens 30(5):453–463PubMedGoogle Scholar
  22. 22.
    Schiffrin EL, Calhoun DA, Flack JM (2016) Do we need a new definition of hypertension after SPRINT? Am J Hypertens 29(10):1127–1129CrossRefPubMedGoogle Scholar
  23. 23.
    Minz PD, Nirala AK (2014) Bio-activity assessment of fruits using generalized difference and parameterized Fujii method. Optik 125(1):314–317CrossRefGoogle Scholar
  24. 24.
    Braga RA, Dupuy L, Pasqual M, Cardoso RR (2009) Live biospeckle laser imaging of root tissues. Eur Biophys J 38:679–686CrossRefPubMedGoogle Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2019

Authors and Affiliations

  1. 1.Biomedical Optics Laboratory, Department of Applied PhysicsIndian Institute of Technology (Indian School of Mines)DhanbadIndia

Personalised recommendations