Literature DB >> 30406244

Enhanced parylene-C fluorescence as a visual marker for neuronal electrophysiology applications.

Lingqian Zhang1, Mengping Wei2, Linbo Shao3, Mingli Li4, Wangzhi Dai5, Yaxuan Cui6, Zhihong Li7, Chen Zhang2, Wei Wang7.   

Abstract

Parylene-C is a popular polymer material in biomedical applications, with excellent physicochemical properties and microfabrication capability. Like many aromatic polymers, parylene-C also has autofluorescence, which was usually taken as a negative background noise in biomedical detection studies. However, the fluorescence intensity of thin-film (<1 μm) parylene-C was relatively weak, which may be a big limitation in visualization. In this work, we reported a simple annealing method to significantly enhance the fluorescence and achieve sufficient intensity as a visual marker. We studied the behaviors and mechanisms of the enhanced parylene-C fluorescence, then verified the feasibility and reliability of parylene-C for preparing fluorescent pipettes in targeted neuronal electrophysiology, where fluorescent guidance was strongly needed. The powerful parylene-C fabrication technique enables a precisely-controlled conformal coating along with a mass production capability, which further resulted in high-quality electrophysiological recordings of both cultured hippocampal neurons and acute hippocampal brain slices. Moreover, the enhanced parylene-C fluorescence can also be applied in more general biological operations, such as designable fluorescent micro-patterns for visualization in broader biomedical fields.

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Year:  2018        PMID: 30406244     DOI: 10.1039/c8lc00804c

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  1 in total

1.  Three-dimensional, multifunctional neural interfaces for cortical spheroids and engineered assembloids.

Authors:  Yoonseok Park; Colin K Franz; Hanjun Ryu; Haiwen Luan; Kristen Y Cotton; Jong Uk Kim; Ted S Chung; Shiwei Zhao; Abraham Vazquez-Guardado; Da Som Yang; Kan Li; Raudel Avila; Jack K Phillips; Maria J Quezada; Hokyung Jang; Sung Soo Kwak; Sang Min Won; Kyeongha Kwon; Hyoyoung Jeong; Amay J Bandodkar; Mengdi Han; Hangbo Zhao; Gabrielle R Osher; Heling Wang; KunHyuck Lee; Yihui Zhang; Yonggang Huang; John D Finan; John A Rogers
Journal:  Sci Adv       Date:  2021-03-17       Impact factor: 14.136

  1 in total

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