Penetration model for chemical reactivation for resin-embedded green fluorescent protein imaging

Longhui Li; Ruixi Chen; Xiuli Liu; Ning Li; Xiaoxiang Liu; Xiaojun Wang; Tingwei Quan; Xiaohua Lv; Shaoqun Zeng

doi:10.1117/1.JBO.24.5.051406

28 November 2018 Penetration model for chemical reactivation for resin-embedded green fluorescent protein imaging

Longhui Li, Ruixi Chen, Xiuli Liu, Ning Li, Xiaoxiang Liu, Xiaojun Wang, Tingwei Quan, Xiaohua Lv, Shaoqun Zeng

Author Affiliations +

Journal of Biomedical Optics, Vol. 24, Issue 5, 051406 (November 2018). https://doi.org/10.1117/1.JBO.24.5.051406

Abstract

In the so-called surface microscopy, serial block-face imaging is combined with mechanic sectioning to obtain volumetric imaging. While mapping a resin-embedded green fluorescent protein (GFP)-labeled specimen, it has been recently reported that an alkaline buffer is used to chemically reactivate the protonated GFP molecules, and thus improve the signal-to-noise ratio. In such a procedure, the image quality is highly affected by the penetration rate of a solution. We propose a reliable penetration model to describe the penetration process of the solution into the resin. The experimental results are consistent with the parameters predicted using this model. Thus, this model provides a valuable theoretical explanation and aids in optimizing the system parameters for mapping resin-embedded GFP biological samples.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Longhui Li, Ruixi Chen, Xiuli Liu, Ning Li, Xiaoxiang Liu, Xiaojun Wang, Tingwei Quan, Xiaohua Lv, and Shaoqun Zeng "Penetration model for chemical reactivation for resin-embedded green fluorescent protein imaging," Journal of Biomedical Optics 24(5), 051406 (28 November 2018). https://doi.org/10.1117/1.JBO.24.5.051406

Received: 18 August 2018; Accepted: 7 November 2018; Published: 28 November 2018

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Cited by 2 scholarly publications.

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KEYWORDS

Luminescence

Green fluorescent protein

Chromium

Data modeling

Brain

Diffusion

Lithium

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