Histogram analysis for smartphone-based rapid hematocrit determination

Jalal, Uddin M.; Kim, Sang C.; Shim, Joon S.

doi:10.1364/boe.8.003317

Cited by 32 publications

(21 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Third, as shown in Figure 1 (Cc), temporal variations of <I BC > were obtained over a single period. According to previous work [ 33 ], the intensity of grayscale image obtained at stationary blood flow varied significantly depending on Hct. Unlike the previous study, blood flow stopped or ran periodically.…”

Section: Methodsmentioning

confidence: 99%

“…Second, several methods including the photometric method [ 9 , 20 ], electric impedance [ 21 ], ultrasonic imaging [ 22 ], and microscopic imaging [ 23 , 24 , 25 , 26 , 27 , 28 ] have been suggested to quantify RBC aggregation. At last, Hct has been quantified by measuring the direct current response [ 29 ], electric resistance [ 30 , 31 ], the traveled distance of RBCs [ 32 ], and a histogram of grayscale intensity [ 33 ]. Previously, our group suggested simple methods for the simultaneous measurement of two biophysical properties (i.e., RBC deformability and viscosity [ 34 ], RBC deformability and viscoelasticity [ 35 ], and RBC aggregation and viscosity [ 27 , 36 ]).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Disposable Blood-on-a-Chip for Simultaneous Measurement of Multiple Biophysical Properties

Kang

2018

Micromachines

View full text Add to dashboard Cite

Biophysical properties are widely used to detect pathophysiological processes of vascular diseases or clinical states. For early detection of cardiovascular diseases, it is necessary to simultaneously measure multiple biophysical properties in a microfluidic environment. However, a microfluidic-based technique for measuring multiple biophysical properties has not been demonstrated. In this study, a simple measurement method was suggested to quantify three biophysical properties of blood, including red blood cell (RBC) deformability, RBC aggregation, and hematocrit. To demonstrate the suggested method, a microfluidic device was constructed, being composed of a big-sized channel (BC), a parallel micropillar (MP), a main channel, a branch channel, inlet, and outlets. By operating a single syringe pump, blood was supplied into the inlet of the microfluidic device, at a periodic on-off profile (i.e., period = 240 s). The RBC deformability index (DI) was obtained by analyzing the averaged blood velocity in the branch channel. Additionally, the RBC aggregation index (AIN) and the hematocrit index (HiBC) were measured by analyzing the image intensity of blood flows in the MP and the BC, respectively. The corresponding contributions of three influencing factors, including the turn-on time (Ton), the amplitude of blood flow rate (Q0), and the hematocrit (Hct) on the biophysical indices (DI, AIN, and HiBC) were evaluated quantitatively. As the three biophysical indices varied significantly with respect to the three factors, the following conditions (i.e., Ton = 210 s, Q0 = 1 mL/h, and Hct = 50%) were maintained for consistent measurement of biophysical properties. The proposed method was employed to detect variations of biophysical properties depending on the concentrations of autologous plasma, homogeneous hardened RBCs, and heterogeneous hardened RBCs. Based on the observations, the proposed method exhibited significant differences in biophysical properties depending on base solutions, homogeneous hardened RBCs (i.e., all RBCs fixed with the same concentration of glutaraldehyde solution), and heterogeneous hardened RBCs (i.e., partially mixed with normal RBCs and homogeneous hardened RBCs). Additionally, the suggested indices (i.e., DI, AIN, and HiBC) were effectively employed to quantify three biophysical properties, including RBC deformability, RBC aggregation, and hematocrit.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Disposable Blood-on-a-Chip for Simultaneous Measurement of Multiple Biophysical Properties

Kang

2018

Micromachines

View full text Add to dashboard Cite

show abstract

“…Paper-based colorimetric immunoassays are good candidates for low-cost diagnostic tools in resource-limited settings, but their application remains hampered by the need of desktop scanners that lack portability or of cameras that are sensitive to ambient light conditions. These limitations stimulated the use of smartphone-embedded high-resolution cameras to provide rapid optical detection of analytes with minimal instrumentation [54][55][56][57][58][59][60][61][62]. The time-dependent variation of the colorimetric assessment due to the lack of control in the reaction volume has been solved with a paper-plastic hybrid microfluidic device, integrating a single channel with a micropump [63].…”

Section: Microfluidic Point-of-care Devicesmentioning

confidence: 99%

Microfluidic Point-of-Care Devices: New Trends and Future Prospects for eHealth Diagnostics

Mejía‐Salazar

Cruz

Vásques

et al. 2020

Sensors

138

111

View full text Add to dashboard Cite

Point-of-care (PoC) diagnostics is promising for early detection of a number of diseases, including cancer, diabetes, and cardiovascular diseases, in addition to serving for monitoring health conditions. To be efficient and cost-effective, portable PoC devices are made with microfluidic technologies, with which laboratory analysis can be made with small-volume samples. Recent years have witnessed considerable progress in this area with “epidermal electronics”, including miniaturized wearable diagnosis devices. These wearable devices allow for continuous real-time transmission of biological data to the Internet for further processing and transformation into clinical knowledge. Other approaches include bluetooth and WiFi technology for data transmission from portable (non-wearable) diagnosis devices to cellphones or computers, and then to the Internet for communication with centralized healthcare structures. There are, however, considerable challenges to be faced before PoC devices become routine in the clinical practice. For instance, the implementation of this technology requires integration of detection components with other fluid regulatory elements at the microscale, where fluid-flow properties become increasingly controlled by viscous forces rather than inertial forces. Another challenge is to develop new materials for environmentally friendly, cheap, and portable microfluidic devices. In this review paper, we first revisit the progress made in the last few years and discuss trends and strategies for the fabrication of microfluidic devices. Then, we discuss the challenges in lab-on-a-chip biosensing devices, including colorimetric sensors coupled to smartphones, plasmonic sensors, and electronic tongues. The latter ones use statistical and big data analysis for proper classification. The increasing use of big data and artificial intelligence methods is then commented upon in the context of wearable and handled biosensing platforms for the Internet of things and futuristic healthcare systems.

show abstract

“…Because of the ESR in the driving syringe, the hematocrit of the blood sample flowing in a microfluidic channel tended to decrease over time. Here, variations of hematocrit were used by monitoring the image intensity of the blood sample [26]. Figure 4C-a showed microscopic images of the blood sample (Hct = 30%) flowing in the blood sample channel over time (t = 0, 480, 960, 1440, and 1920 s).…”

Section: Quantification Of the Effect Of Hematocrit On Blood Viscoelamentioning

confidence: 99%

Blood Viscoelasticity Measurement Using Interface Variations in Coflowing Streams under Pulsatile Blood Flows

Kang

2020

Micromachines

View full text Add to dashboard Cite

Blood flows in microcirculation are determined by the mechanical properties of blood samples, which have been used to screen the status or progress of diseases. To achieve this, it is necessary to measure the viscoelasticity of blood samples under a pulsatile blood condition. In this study, viscoelasticity measurement is demonstrated by quantifying interface variations in coflowing streams. To demonstrate the present method, a T-shaped microfluidic device is designed to have two inlets (a, b), one outlet (a), two guiding channels (blood sample channel, reference fluid channel), and one coflowing channel. Two syringe pumps are employed to infuse a blood sample at a sinusoidal flow rate. The reference fluid is supplied at a constant flow rate. Using a discrete fluidic circuit model, a first-order linear differential equation for the interface is derived by including two approximate factors (F1 = 1.094, F2 = 1.1087). The viscosity and compliance are derived analytically as viscoelasticity. The experimental results showed that compliance is influenced substantially by the period. The hematocrit and diluent contributed to the varying viscosity and compliance. The viscoelasticity varied substantially for red blood cells fixed with higher concentrations of glutaraldehyde solution. The experimental results showed that the present method has the ability to monitor the viscoelasticity of blood samples under a sinusoidal flow-rate pattern.

show abstract

Histogram analysis for smartphone-based rapid hematocrit determination

Cited by 32 publications

References 35 publications

A Disposable Blood-on-a-Chip for Simultaneous Measurement of Multiple Biophysical Properties

A Disposable Blood-on-a-Chip for Simultaneous Measurement of Multiple Biophysical Properties

Microfluidic Point-of-Care Devices: New Trends and Future Prospects for eHealth Diagnostics

Blood Viscoelasticity Measurement Using Interface Variations in Coflowing Streams under Pulsatile Blood Flows

Contact Info

Product

Resources

About