Flow Cytometry

Mobile flow cytometer for mHealth.

Publication Date: 
Jan 28, 2015

Flow cytometry is used for cell counting and analysis in numerous clinical and environmental applications. However flow cytometry is not used in mHealth mainly because current flow cytometers are large, expensive, power-intensive devices designed to operate in a laboratory.

Micro-a-fluidics ELISA for rapid CD4 cell count at the point-of-care.

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Publication Date: 
Jan 22, 2014

HIV has become one of the most devastating pathogens in human history. Despite fast progress in HIV-related basic research, antiretroviral therapy (ART) remains the most effective method to save AIDS patients' lives.

Microfluidic CD4+ and CD8+ T lymphocyte counters for point-of-care HIV diagnostics using whole blood.

Publication Date: 
Dec 05, 2013

Roughly 33 million people worldwide are infected with HIV; disease burden is highest in resource-limited settings. One important diagnostic in HIV disease management is the absolute count of lymphocytes expressing the CD4(+) and CD8(+) receptors.

Wide-field fluorescent microscopy and fluorescent imaging flow cytometry on a cell-phone.

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Publication Date: 
Apr 22, 2013

Fluorescent microscopy and flow cytometry are widely used tools in biomedical research and clinical diagnosis. However these devices are in general relatively bulky and costly, making them less effective in the resource limited settings.

Tackling HIV through robust diagnostics in the developing world: current status and future opportunities.

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Publication Date: 
Dec 21, 2010

Over the last thirty years, the world has seen HIV circulate the globe, affecting 33 million people to date and killing 2 million people a year. The disease has affected developed and developing countries alike, and in the U.S., remains one of the top ten leading causes of death.

Optofluidic fluorescent imaging cytometry on a cell phone.

Journal Title: 
Publication Date: 
Sep 01, 2011

Fluorescent microscopy and flow cytometry are widely used tools in biomedical sciences. Cost-effective translation of these technologies to remote and resource-limited environments could create new opportunities especially for telemedicine applications.