Optical clearing in photoacoustic flow cytometry

Menyaev, Yulian A.; Nedosekin, Dmitry A.; Sarimollaoglu, Mustafa; Juratli, Mazen A.; Galanzha, Ekaterina I.; Tuchin, Valery V.; Zharov, Vladimir P.

doi:10.1364/boe.4.003030

Cited by 58 publications

(58 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, the turbid skin-induced static speckles conceals the dynamic information of the blood flow and reduces the imaging resolution and contrast, that makes it difficult to sensitively monitor the cutaneous blood flow dynamical response [23]. Fortunately, the tissue optical clearing technique [24][25][26] has shown a great potential to improve the performance of many optical imaging modalities [27][28][29][30][31][32][33][34][35][36]. Especially, some in vivo skin optical clearing (SOC) methods [37,38] can make LSCI image the cutaneous microcirculation with superior resolution and contrast [39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Accessing to arteriovenous blood flow dynamics response using combined laser speckle contrast imaging and skin optical clearing

Shi¹,

Chen²,

Tuchin³

et al. 2015

Biomed. Opt. Express

Self Cite

View full text Add to dashboard Cite

Laser speckle contrast imaging (LSCI) shows a great potential for monitoring blood flow, but the spatial resolution suffers from the scattering of tissue. Here, we demonstrate the capability of a combination method of LSCI and skin optical clearing to describe in detail the dynamic response of cutaneous vasculature to vasoactive noradrenaline injection. Moreover, the superior resolution, contrast and sensitivity make it possible to rebuild arteries-veins separation and quantitatively assess the blood flow dynamical changes in terms of flow velocity and vascular diameter at single artery or vein level.

show abstract

Section: Introductionmentioning

confidence: 99%

Accessing to arteriovenous blood flow dynamics response using combined laser speckle contrast imaging and skin optical clearing

Shi¹,

Chen²,

Tuchin³

et al. 2015

Biomed. Opt. Express

Self Cite

View full text Add to dashboard Cite

show abstract

“…A Pseudorandom Number Generators (PRNG) are well-known techniques with broad applications in such areas as cryptography (Tusnoo et al, 2003;Ozturk et al, 2004;Panneton et al, 2006), simulation of stochastic processes (Entacher, 1998), comprehensive testing of technical systems (Leeb and Wegenkittl, 1997;Park and Miller, 1998), medical (Menyaev and Zharov, 2006a;2006b;Menyaev and Zharova, 2006;2013;2016;Sarimollaoglu et al, 2014;Cai et al, 2016a;2016b) and biological research (Wiese et al, 2005;Leonard and Jackson, 2015;Juratly et al, 2015;2016) and others (Rababbah 2004;2007;Politano et al, 2014;2016;Riguzzi, 2016). In these publications, the concept of uniform random numbers in PRNG actively uses the operations of bit logic.…”

Section: Related Workmentioning

confidence: 99%

Parametrical Tuning of Twisting Generators

Deon¹,

Menyaev²

2016

Journal of Computer Science

Self Cite

View full text Add to dashboard Cite

Generators of uniformly distributed random numbers are broadly applied in simulations of stochastic processes that rely on normal and other distributions. In a point of fact, the uniform random numbers are actively used for applications that range from, modeling different phenomena such as theoretical mathematics and technical designing, to evidence-based medicine. This paper proposes a novel approach which consists of a combination of global twister with circular technique and initial congruential generation with complete stochastic sequences. It has been experimentally confirmed that for complete sequences this type of generation provides uniformity in distribution of random numbers. The offered program codes include the tuning methods for the generation technique where random numbers may take any bit length. Moreover, the automatic switching of generator parameters such as initial congruential constants depending on intervals for generated numbers is considered as well. Demonstrated results of testing confirm the uniformity of distribution without any repeated or skipped generated elements.

show abstract

“…13,14 and other biomedical applications. [15][16][17] Combined with nanotechnology, the speci¯city of cancer diagnostics has been greatly improved. [18][19][20][21][22] As the setup of IVFC has been well established, corresponding signal processing approaches have also been explored to study the signal features and improve the cell counting procedure.…”

Section: Introductionmentioning

confidence: 99%

Cell counting for in vivo flow cytometry signals with baseline drift

Wang

Suo

Wei

et al. 2017

J. Innov. Opt. Health Sci.

View full text Add to dashboard Cite

In biomedical research¯elds, the in vivo°ow cytometry (IVFC) is a widely used technology which is able to monitor target cells dynamically in living animals. Although the setup of IVFC system has been well established, baseline drift is still a challenge in the process of quantifying circulating cells. Previous methods, i.e., the dynamic peak picking method, counted cells by setting a static threshold without considering the baseline drift, leading to an inaccurate cell quanti¯cation. Here, we developed a method of cell counting for IVFC data with baseline drift by interpolation¯tting, automatic segmentation and wavelet-based denoising. We demonstrated its performance for IVFC signals with three types of representative baseline drift. Compared with non-baseline-correction methods, this method showed a higher sensitivity and speci¯city, as well as a better result in the Pearson's correlation coe±cient and the mean-squared error (MSE).

show abstract

Optical clearing in photoacoustic flow cytometry

Cited by 58 publications

References 58 publications

Accessing to arteriovenous blood flow dynamics response using combined laser speckle contrast imaging and skin optical clearing

Accessing to arteriovenous blood flow dynamics response using combined laser speckle contrast imaging and skin optical clearing

Parametrical Tuning of Twisting Generators

Cell counting for in vivo flow cytometry signals with baseline drift

Contact Info

Product

Resources

About