Our new paper is accepted in the Journal of Applied Physics. This manuscript has been performed collaboratively by the authors of our group and Ecole Polytechnique Federale de Lausanne (EPFL).
Congratulations to all the authors!
Phase-Sensitive Optical Neural Recording of Cerebellum Tissue on a Flexible Interface
Foozieh Sohrabi,1,2 Dordaneh Etezadi,2 Rodrigo De Campos Perin,3 Yasaman Jahani,2 Ershad Mohammadi,2,4 and Seyedeh Mehri Hamidi*,1
1Magneto-Plasmonic Lab, Laser and Plasma Research Institute, Shahid Beheshti University, Daneshju Boulevard, Tehran 1983969411, Iran
2Institute of Bioengineering, École Polytechnique Fédérale De Lausanne, Ch-1015 Lausanne, Switzerland
3School of Life Sciences, École Polytechnique Fédérale De Lausanne, Ch-1015 Lausanne, Switzerland
4Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
ABSTRACT: Knowing an increased number of the patients suffering from mental disorders, neural signal recording and imaging have become highly prerequisite challenges for providing healing procedures. Despite the fact that novel optical techniques provide highly-resolved imaging/recording of large neuron population, most of them are suffering from insertion damage, tethering connection, labeling and photobleaching deficiencies, among which plasmonic Ellipsometry is a highly sensitive and label-free platform for detecting neural activity both quantitatively and qualitatively. In this paper, a flexible patterned plasmonic substrate is used as a sensing surface for phase-sensitive neural recording of cerebellum tissue slice under electrical and chemical stimulations. Although the traditional reflection spectrum cannot represent the changes in neural activity with high-precision, phase-sensitive neuroplasmonics not only can reveal the neural activity level but also distinguish different electrical and chemical stimulation types with considerable phase splitting factor. This study can open up a new insight toward label-free and flexible biological sensors with neuroscience applications.
KEYWORDS: Plasmonic, Ellipsometry, Phase-sensitive, Neural signal, Brain tissue, Flexible interface.