IEEE Life Sciences Newsletter
Within the last decade, our ability to see more clearly, more deeply, and with more understanding, has taken incredible strides thanks to emerging developments in imaging technology. Innovative instruments and their applications now allow researchers to look inside tissues, watch the intricacies of cell development, and view in multiple dimensions—only a few of the many examples of breakthroughs within this broadening field.
by Shannon Fischer and Shabana Sayed
In the last five years, the emergence of commercial time-lapse imaging devices, such as the EmbryoScope, have spurred a new study of human embryo behavior in reproductive medicine. Currently, clinics worldwide are investigating ways to use such tools to better analyze embryo potential and maximize the odds of pregnancy. Klinikk Hausken was the first clinic in Norway to begin experimenting with the EmbryoScope in 2010, and it has since developed an algorithm using time-lapse parameters that has allowed them to achieve a relative increase in live birth rates per embryo transferred by 24%. Research is ongoing to explore the implications and molecular underpinnings of newly observed embryo behaviors throughout the reproductive field.
by Subhamoy Mandal
Multi-Spectral Optoacoustic Tomography (MSOT), a new technique developed based on the principle of multi-wavelength optoacoustics, is capable of high resolution three dimensional (3D) visualizations of molecular probes located deep in scattering living tissues, with resolution and speed representative of ultrasound. This method can simultaneously deliver anatomical, functional, and molecular information with both high resolution and greater penetration depths, and when combined with speed and multi-spectral capabilities, opens the door to imaging in five dimensions.
If We Can See It, We Can Fix It: From Medical Imaging to Guidance Environments for Computer-Assisted Interventions
by Cristian A. Linte and Ziv Yaniv
Minimally invasive interventions are surgical procedures that are conducted through small incisions or natural orifices, under reduced tissue exposure. This approach to medical interventions is motivated by improved outcomes, primarily due to the reduction in trauma to the patient previously associated with reaching the target. While the less invasive approach is beneficial to patients, it has introduced new challenges for the physicians. The limited availability of direct visualization of the surgical scene and organs being treated, and often lack thereof, require significant reliance on medical imaging and computer-assisted navigation. This article provides a concise overview of the field of computer-assisted guidance and navigation for minimally invasive interventions and current research trends in the domain.
About the Newsletter
The IEEE Life Sciences Newsletter is a new initiative to bring forth interesting articles and informative interviews within the exciting field of life sciences every month. Please subscribe to the newsletter to receive notification each month when new articles are published.
Michael R. Neuman is Professor in the Department of Biomedical Engineering, Michigan Technological University. His research interests are Biomedical sensors and instrumentation, Physiological measurements and perinatal medicine, Clinical applications of biomedical instrumentation, and Microfabrication technology.
March 2015 Contributors
Shabana Sayed is a ESHRE certified Senior clinical Embryologist and IVF Laboratory Director at Klinikk Hausken. Her primary areas of expertise are within embryo selection and optimization of laboratory procedures for IVF.
Subhamoy Mandal is a DAAD Ph.D. scholar with the Institute of Biological and Medical Imaging at the Technische Universität München and Helmholtz Zentrum München. His research focuses on visual quality enhancement in multispectral optoacoustic tomgraphy and translational molecular imaging applications.
Cristian A. Linte is an Assistant Professor in the Department of Biomedical Engineering and the Chester F. Carlson Center for Imaging Science at Rochester Institute of Technology.
Ziv Yaniv is a Senior Scientist in the Office of High Performance Computing and Communications at the National Library of Medicine and the National Institutes of Health.