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Low Cost Blood Analyzer
for Malaria Detection
Project Advisors: Prof. William Tang, Gelareh Eslamian
Project Team: Nadia Ahmed, Kevin Cho, Johnway Yih, Anna Grace
Additional Help: Timothy Quang, Robert Diehl, Ling Kong, Transon Nguyen, Kun Qian
Background
Malaria affects 500 million people a year
The most common and lethal of four different strains of
malaria is Plasmodium Falciparum
www.sciencemag.org on June 1, 2010
Purpose
Properly diagnose Malaria in a cheap and
effective manner
•
Avoid misdiagnosis (which leads to drug resistance)
•
Provide cheap and reliable diagnosis
•
Keep the device portable
•
Create an alternative to slow and expensive microscopy
blood analysis
Project Theory
•
Malaria targets red blood cells (RBC)
•
Infected RBCs become more rigid and form a rough
exterior
•
Infected RBCs travel slower than non infected RBCs
•
Infection can be quantified and measured based
flow speed of RBCs
www.pnas.orgcgidoi10.1073pnas.2433968100
on
Project Design

Create an optical sensor with a laser diode and
photodiode

Flowing RBCs will interrupt the laser beam

Disruption of the laser beam will be recorded by
voltage output of photodiode

Use National Instruments DAQ
to record information on a PC
Project Design
Project Design
Data
Photodiode readout of wire (~500 µm) test
Data
Photodiode readout of hair (~100 µm) test
Microfluidic Channels
Shrinky dink mold method
 Print channel layout on polystyrene
 Oven at 160-170 degrees Celsius
 Problems keeping them flat
 Pour PDMS on top of shrinky dinks
 Adhere PDMS to glass slides to create
permanent channels

PDMS Channel
Continued Work

Focus the laser beam
to the smallest spot
size possible

Detect microbeads
flowing through a
microchannel (~10
µm)

Detect RBCs (~4-8
µm) in mouse blood
Ultimate Goal

Reverse engineer common CD ROM drives

Use the internal optical system for our device

Optical sensors will already be sensitive enough

Cheap alternative to constructing our own materials
Thank You
Project Advisors: Prof. William Tang, Gelareh Eslamian
Project Team: Nadia Ahmed, Kevin Cho, Johnway Yih, Anna Grace
Additional Help: Timothy Quang, Robert Diehl, Ling Kong, Transon Nguyen,
Kun Qian