Dial-in Diagnosis

In an effort to improve health globally, researchers from the University of California, Los Angeles (UCLA), have advanced a lens-free, high-throughput imaging technique that is proving to be a major step toward portable medical diagnostic applications.

This type of telemedicine is ideal for developing countries and areas that have health facilities in sparse locations. Often times the distance between those seeking medical attention and the facilities that can provide it is a major obstacle. That is why the UCLA researchers have been working on a solution that essentially brings the hospital to patient.

One solution involves creating medical diagnostic applications small enough to fit into objects already in common use, such as cell phones.

UCLA researchers have advanced a novel lens-free, high-throughput imaging technique for potential use in medical diagnostics, which could improve global disease monitoring, especially in resource-limited settings such as in Africa. The research outlines improvements to a technique known as LUCAS, or Lensless Ultra-wide-field Cell monitoring Array platform based on Shadow imaging.

First published in the Royal Society of Chemistry's journal Lab Chip in 2007, the LUCAS technique, developed by UCLA researchers, demonstrated a lens-free method for quickly and accurately counting targeted cell types in a homogenous cell solution. Removing the lens from the imaging process allows LUCAS to be scaled down to the point that it can eventually be integrated into a regular wireless cell phone. Samples could be loaded into a specially equipped phone using a disposable microfluidic chip.

The research team, led by Aydogan Ozcan, assistant professor of electrical engineering at the UCLA Henry Samueli School of Engineering and Applied Science and a member of the California NanoSystems Institute (CNSI), includes postdoctoral scholar Sungkyu Seo, doctoral student Ting-Wei Su, master's student Derek Tseng and undergraduate Anthony Erlinger.

"This on-chip imaging platform may have a significant impact, especially for medical diagnostic applications related to global health problems such as HIV or malaria monitoring," Ozcan said.

LUCAS functions as an imaging scheme in which the shadow of each cell in an entire sample volume is detected in less than a second. The acquired shadow image is then digitally processed using a custom-developed "decision algorithm" to enable both the identification of the cell/bacteria location in 3-D and the classification of each microparticle type within the sample volume.

Various cell types - such as red blood cells, fibroblasts and hepatocytes - or other microparticles, such as bacteria, all exhibit uniquely different shadow patterns and therefore can be rapidly identified using the decision algorithm.

The new study demonstrates that the use of narrowband, short-wavelength illumination significantly improves the detection of cell shadow images.

Furthermore, by varying the wavelength, the two-dimensional pattern of the recorded cell signatures can be tuned to enable automated identification and counting of a target cell type within a mixed cell solution.

"This is the first demonstration of automated, lens-free counting and characterization of a mixed, or heterogeneous, cell solution on a chip and holds significant promise for telemedicine applications," said Ozcan.

Another improvement detailed in the UCLA research is the creation of a hybrid imaging scheme that combines two different wavelengths to further improve the digital quality of shadow images. This new cell classification scheme has been termed "multicolor LUCAS." As the team illustrated, further improvement in image quality can also be achieved through the use of adaptive digital filtering. As result of these upgrades, the volume of the sample solution that can be imaged has been increased, from less than 0.1 ml to 5 ml.

"This is a significant advance in the quest to bring advanced medical care to all reaches of the planet," said Leonard H. Rome, interim director of the CNSI and senior associate dean for research at the David Geffen School of Medicine at UCLA. "The implications for medical diagnostic applications are in keeping with CNSI initiatives for new advances toward improving global health."

Ozcan has already received accolades for this research, including the prestigious 2008 Okawa Foundation Research Award, which he will receive at a ceremony in San Francisco on Oct. 8. The award honors top young researchers working in the fields of information and telecommunications. The CMBE paper has also been selected for the Outstanding Paper award at the upcoming annual meeting of the Biomedical Engineering Society this fall.

For more information, visit: www.ucla.edu