Lens-free holographic microscopy for complete blood analysis on a chip

Chen, Yi Chun; Kuo, Chia Sheng; Wang, Zhizhong; Lei, Hsiang Yu; Yang, Can

doi:10.1117/12.2543132

“…When compared to the conventional microscope-based imaging platforms, the lensless setup we developed is portable, simple, light-weight [ 61 ], and offers a large field-of-view (FOV) that enables high throughput medical diagnostics [ 62 ]. Such a device has the potential to revolutionize the HIV-1 diagnostic arena because it requires a minimal amount of sample and limited biological/chemical reagents with a total assay time of around 100 min.…”

Section: Discussionmentioning

confidence: 99%

Development of a Point-of-Care Assay for HIV-1 Viral Load Using Higher Refractive Index Antibody-Coated Microbeads

Sher

¹

,

Coleman

²

,

Caputi

³

et al. 2021

Sensors

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The detection of viruses using imaging techniques is challenging because of the weak scattering of light generated by the targets of sizes in the nanometer range. The system we have developed overcomes the light scattering problems by utilizing antibody-coated microbeads of higher index of refraction that can specifically bind with viruses and increase the acceptance angle. Using the new technology, we have developed a portable, cost-effective, and field-deployable platform for the rapid quantification of HIV-1 viral load for point-of-care (POC) settings. The system combines microfluidics with a wide field of view lensless imaging technology. Highly specific antibodies are functionalized to a glass slide inside a microchip to capture HIV-1 virions. The captured virions are then bound by antibody-conjugated microbeads, which have a higher refraction index. The microbeads—HIV-1 virions complexes generate diffraction patterns that are detected with a custom-built imaging setup and rapidly and accurately quantified by computational analysis. This platform technology enables fast nanoscale virus imaging and quantification from biological samples and thus can play a significant role in the detection and management of viral diseases.

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“…The main advantages of using microchip are the ease of utilization, the requirement of only fingerprick blood volume and high uniformity of blood cells in microfluidic device. Blood smears are frequently utilized in hematological analysis where the uniformity of the cells may be affected by the expertise of the operator [35]. We imaged the evenly distributed RBCs in the microfluidic chip with our developed smartphone-based setup and compared the results with the optical microscope image results.…”

Section: Discussionmentioning

confidence: 99%

Smartphone-based sickle cell disease detection and monitoring for point-of-care settings

Ilyas

¹

,

Sher

²

,

Du

³

et al. 2020

Biosensors and Bioelectronics

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Sickle cell disease (SCD) is a worldwide hematological disorder causing painful episodes, anemia, organ damage, stroke, and even deaths. It is more common in sub-Saharan Africa and other resource-limited countries. Conventional laboratory-based diagnostic methods for SCD are time-consuming, complex, and cannot be performed at point-of-care (POC) and home settings. Optical microscope-based classification and counting demands a significant amount of time, extensive setup, and cost along with the skilled human labor to distinguish the normal red blood cells (RBCs) from sickled cells. There is an unmet need to develop a POC and home-based test to diagnose and monitor SCD and reduce mortality in resource-limited settings. An early-stage and timely diagnosis of SCD can help in the effective management of the disease. In this article, we utilized a smartphone-based image acquisition method for capturing RBC images from the SCD patients in normoxia and hypoxia conditions. A computer algorithm is developed to differentiate RBCs from the patient's blood before and after cell sickling. Using the developed smartphone-based technique, we obtained similar percentage of sickle cells in blood samples as analyzed by conventional method (standard microscope). The developed method of testing demonstrates the potential utility of the smartphone-based test for reducing the overall cost of screening and management for SCD, thus increasing the practicality of smartphone-based screening technique for SCD in low-resource settings. Our setup does not require any special storage requirements and is particularly useful in assessing the severity of the SCD. This is the characteristic advantage of our technique as compared to other hemoglobin-based POC diagnostic techniques.

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“…Normally hypoxia is based on measure of; oxygen saturation in blood (SO2) <95%, partial pressure of oxygen (PaO2) <80mmHg, PH <7. 35, partial pressure of carbon dioxide (PaCO2) >45mmHg or concentration of bicarbonate (HCO3) <22meq/L [27]. Less than 1 µl blood was loaded into the microfluidic device.…”

Section: Sample Preparationmentioning

confidence: 99%

Smartphone-based Sickle Cell Disease Detection and Monitoring for Point-of-Care Settings

Ilyas

¹

,

Sher

²

,

Du

³

et al. 2020

Preprint

View full text Add to dashboard Cite

Sickle cell disease (SCD) is a worldwide hematological disorder causing painful episodes, anemia, organ damage, stroke, and even deaths. It is more common in sub-Saharan Africa and other resource-limited countries. Conventional laboratory-based diagnostic methods for SCD are time-consuming, complex, and cannot be performed at point-of-care (POC) and home settings. Optical microscope-based classification and counting demands a significant amount of time, extensive setup, and cost along with the skilled human labor to distinguish the normal red blood cells (RBCs) from sickled cells. There is an unmet need to develop a POC and home-based test to diagnose and monitor SCD and reduce mortality in resource-limited settings. An early-stage and timely diagnosis of SCD can help in the effective management of the disease. In this article, we utilized a smartphone-based image acquisition method for capturing RBC images from the SCD patients in normoxia and hypoxia conditions. A computer algorithm is developed to differentiate RBCs from the patient's blood before and after cell sickling. Using the developed smartphone-based technique, we obtained similar percentage of sickle cells in blood samples as analyzed by conventional method (standard microscope). The developed method of testing demonstrates the potential utility of the smartphone-based test for reducing the overall cost of screening and management for SCD, thus increasing the practicality of smartphone-based screening technique for SCD in low-resource settings. Our setup does not require any special storage requirements and is particularly useful in assessing the severity of the SCD. This is the characteristic advantage of our technique as compared to other hemoglobin-based POC diagnostic techniques. Introduction:

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Lens-free holographic microscopy for complete blood analysis on a chip

Cited by 5 publications

References 0 publications

Development of a Point-of-Care Assay for HIV-1 Viral Load Using Higher Refractive Index Antibody-Coated Microbeads

Development of a Point-of-Care Assay for HIV-1 Viral Load Using Higher Refractive Index Antibody-Coated Microbeads

Smartphone-based sickle cell disease detection and monitoring for point-of-care settings

Smartphone-based Sickle Cell Disease Detection and Monitoring for Point-of-Care Settings

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