Professor Sergio Fantini (BME) was elected to the American Institute for Medical and Biological Engineering (AIMBE) College of Fellows for “outstanding contributions to the development of quantitative techniques for diffuse optical spectroscopy and imaging of biological tissue.” He is a member of the Biomedical Engineering Society (BMES), the Optical Society of America, and SPIE, the International Society for Optical Engineering. Fantini has recently developed a new optical diagnostic technology, Coherent Hemodynamics Spectroscopy (CHS), for non-invasive assessment of brain perfusion. In January 2016, Cambridge University Press published “Quantitative Biomedical Optics”, a textbook Fantini co-authored with Professor Irving Bigio of Boston University. Fantini joins Professors David Kaplan, BME department chair and Stern Family Professor, Irene Georgakoudi, and Kyongbum Lee, as the most recent Tufts School of Engineering faculty member to be elected AIMBE Fellow.
In January 2016, Cambridge University Press published Quantitative Biomedical Optics, a textbook Professor Sergio Fantini (BME) co-authored with Professor Irving Bigio of Boston University.
The text covers a broad range of areas in biomedical optics, from light interactions at the single-photon and single-biomolecule levels, to the diffusion regime of light propagation in tissue.
“Bigio and Fantini’s comprehensive text on biomedical optics provides a wonderful blend of accessible theory and practical guidance relevant to the design and application of biomedical optical systems. It should be required reading for all graduate students working in this area.” – Rebecca Richards-Kortum, Rice University, Houston
As Optics and Photonics News states, “Current methods for shaping biomaterials, including soft- and photolithography, are limited to two dimensions and don’t offer much in the way of customization.” Tufts researchers, led by Associate Dean for Research and Professor, Fiorenzo Omenetto, “used low-energy (< nJ) femtosecond laser pulses to create 2-D and 3-D patterns in soft, transparent silk-protein hydrogels. They were able to achieve micromachining at a depth of 1 cm—reportedly more than 10 times deeper than any other biomaterial—at a lateral resolution of 5 µm.”
Details Daily Blog includes Tuft’s University discovery of a poly-silk bionink on their list of “10 Groundbreaking Innovations Changing How We Live”. This new discovery “will make printing tissues, organs, bone, and other organic materials a real possibility.”
CNBC highlights the accomplishments of 17-year-old Olivia Hallisey, “who designed a low cost, portable test for Ebola” and is the grand prize winner of the 2015 Google Science Fair. “Hallisey’s diagnostic for the Ebola virus offers results in less than 30 minutes and allows for rapid detection even when patients lack any symptoms. The design includes a silk-containing card that stores Ebola antibodies for up to a week without refrigeration.”
Biomedical engineering researches, funded by the National Institute of Biomedical Imaging and Bioengineering have “successfully developed a 3-dimensional (3D) tissue-engineered model of bone marrow that can produce functional human platelets outside the body (ex vivo)”, Health Medicine Network writes.
Tuft’s University biomedical engineers have been commended on Technology Networks article for their publication of the “first report of a promising new way to induce human mesenchymal stem cells to differentiate into neuron-like cells:treating them with exosomes.” Tufts Assistant Professor, Qiaobing Xu, is the paper’s senior and corresponding author.
Tufts Assistant Professor Qiaobing Xu and colleagues’ research on regenerative medicine using stem cells “is an increasingly promising approach to treat many types of injury” shares TuftsNow. “Transplanted stem cells can differentiate into just about any other kind of cell, including neurons to potentially reconnect a severed spinal cord and repair paralysis.”
Irene Georgakoudi, associate professor of biomedical engineering at Tufts University is researching methods “to diagnose cancer at a cellular level, well before it grows into a visible lesion or tumor.”, shares TuftsNow. “Although her techniques aren’t yet ready for clinical use, Georgakoudi is hopeful they could make a dramatic impact on the way cancers are identified—turning a dreaded disease into something that can be managed and treated before it spirals out of control.”