Research Papers: Imaging

Quantitative assessment of neural outgrowth using spatial light interference microscopy

[+] Author Affiliations
Young Jae Lee, Pati Cintora, Catherine Best-Popescu

University of Illinois at Urbana-Champaign, Department of Bioengineering, Cellular Neuroscience and Imaging Laboratory, Urbana, Illinois, United States

Jyothi Arikkath

University of Nebraska Medical Center, Munroe-Meyer Institute, Omaha, Nebraska, United States

Olaoluwa Akinsola, Mikhail Kandel, Gabriel Popescu

University of Illinois at Urbana-Champaign, Beckman Institute for Advanced Science and Technology, Department of Electrical and Computer Engineering, Quantitative Light Imaging Laboratory, Urbana, Illinois, United States

J. Biomed. Opt. 22(6), 066015 (Jun 23, 2017). doi:10.1117/1.JBO.22.6.066015
History: Received February 9, 2017; Accepted May 30, 2017
Text Size: A A A

Abstract.  Optimal growth as well as branching of axons and dendrites is critical for the nervous system function. Neuritic length, arborization, and growth rate determine the innervation properties of neurons and define each cell’s computational capability. Thus, to investigate the nervous system function, we need to develop methods and instrumentation techniques capable of quantifying various aspects of neural network formation: neuron process extension, retraction, stability, and branching. During the last three decades, fluorescence microscopy has yielded enormous advances in our understanding of neurobiology. While fluorescent markers provide valuable specificity to imaging, photobleaching, and photoxicity often limit the duration of the investigation. Here, we used spatial light interference microscopy (SLIM) to measure quantitatively neurite outgrowth as a function of cell confluence. Because it is label-free and nondestructive, SLIM allows for long-term investigation over many hours. We found that neurons exhibit a higher growth rate of neurite length in low-confluence versus medium- and high-confluence conditions. We believe this methodology will aid investigators in performing unbiased, nondestructive analysis of morphometric neuronal parameters.

Figures in this Article
© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Young Jae Lee ; Pati Cintora ; Jyothi Arikkath ; Olaoluwa Akinsola ; Mikhail Kandel, et al.
"Quantitative assessment of neural outgrowth using spatial light interference microscopy", J. Biomed. Opt. 22(6), 066015 (Jun 23, 2017). ; http://dx.doi.org/10.1117/1.JBO.22.6.066015


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement


 

  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.