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The winners of the IEEE Photonics' Student Paper Awards. Chao-Wei Chen (ECE), advised by BioE assistant professor Yu Chen, is second from the left. IEEE President James
Coleman is third from the right.

The winners of the IEEE Photonics' Student Paper Awards. Chao-Wei Chen (ECE), advised by BioE assistant professor Yu Chen, is second from the left. IEEE President James Coleman is third from the right.

 

A presentation describing a new system capable of non-invasive, three-dimensional imaging of stem cells growing in engineered tissue took third place in the student paper competition at the Institute of Electrical and Electronics Engineers (IEEE) Photonics Society’s annual conference.

Department of Electrical and Computer Engineering graduate student Chao-Wei Chen, advised by Fischell Department of Bioengineering (BioE) professor Yu Chen, presented the work, which was conducted in collaboration with BioE professor John Fisher and his advisee, BioE graduate student Andrew Yeatts.

"The research is about filling the gap between microscopy and macroscopy," says Chao-Wei Chen. "Macroscopy techniques such as MRI or CT provide great penetration, greater than 50cm, but are not able to provide great resolution, only about 0.5mm. Microscopy, other the other hand, provides excellent resolution to less than 0.5 microns, but fairly shallow penetration into biological samples, only up to 500 microns, especially working in fluorescence mode."

The system the team created, which has been named "angled fluorescence laminar optical tomography" (aFLOT), offers a balance of penetration and resolution designed to provide quality images of biological structures whose sizes and locations fall somewhere between microscopy's and macroscopy's ideal conditions—in this case, stem cells measuring about 50 microns.

With a 50-100 micron resolution and 2-3mm penetration depth, the device enabled the team to non-invasively obtain three-dimensional images of the distribution of fluorescent-labeled, live stem cells growing in engineered tissue. Currently, a tissue sample would need to be extracted, frozen, sliced into fine sections, scanned and digitally recompiled in order to generate a comparable image. That technique, while effective, is time-consuming and destructive.

Chen and his colleagues consider aFLOT a promising new imaging technique with potential application in regenerative medicine.

The aFLOT project was supported by the National Institutes of Health and the National Science Foundation.

January 19, 2012


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For more information, contact Carrie Hilmer at 301-405-4471, or chilmer@umd.edu.


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