Dr. Ying Ji Profile

Dr. Ying Ji

at Jiangsu Univ

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 15 November 2018 Paper

Optical phase characterization of neuron firing with periodic stimulation

Xiang Li, Mingming Zhang, Shuang Fu, Ying Ji

Proceedings Volume 10964, 109643T (2018) https://doi.org/10.1117/12.2505994

KEYWORDS: Neurons, Refractive index, Calcium, Ions, Axons, Dendrites, 3D modeling, Interfaces, Phase shifts, Nervous system

Read Abstract +

A neuron is the basic unit of the structure and function of the biological nervous system. The detection of neuronal firing is developed rapidly in recent years. However, the cell activity may be affected by most of the technologies. Considering that the concentration of calcium ion in the cell body plays a key role in modulating neuronal firing activity and the solution refractive index is closely related to its concentration, the optical phase information of a neuron is employed in this paper to describe its firing rhythm with a label-free approach. Based on the associated optical parameters, a neuron model with soma and synapses is presented. Due to the phase information of a sample is actually a set of spatial distributed data, the edge detection is performed with a gradient operator to determine the sampling point of phase data for dynamic monitoring. Since the calcium in neurons mainly exist in neuron cytoplasm, Cacl₂ solution is used to simulate the liquid environment in neuron cytoplasm, and the relationship between the refractive index of the solution and the change of the ion concentration is measured through experiments. To demonstrate the phase variation during neuron firing, we take periodic change in calcium concentration in the neuron plasma as an example by simulation. According to the above result, the similar periodic variation of refractive index is be obtained by numerical calculation, as well as that of phase value at the sampling point. From the phase distribution, the variation of phase value can be observed clearly. This work could provide the basis for the label-free detection and characterization of neuron firing.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years