scholarly journals Membrane insertion of‐ and membrane potential sensing by semiconductor voltage nanosensors: feasibility demonstration

2016 ◽  
Author(s):  
Kyoungwon Park ◽  
Yung Kuo ◽  
Volodymyr Shvadchak ◽  
Antonino Ingargiola ◽  
Xinghong Dai ◽  
...  

AbstractWe develop membrane voltage nanosensors that are based on inorganic semiconductor nanoparticles. These voltage nanosensors are designed to self-insert into the cell membrane and optically record the membrane potential via the quantum confined Stark effect, with single-particle sensitivity. We present here the approach, design rules, and feasibility proves for this concept. With further improvements, semiconductor nanoparticles could potentially be used to study signals from many neurons in a large field-of-view over a long duration. Moreover, they could potentially report and resolve voltage signals on the nanoscale.

2019 ◽  
Author(s):  
Anastasia Ludwig ◽  
Pablo Serna ◽  
Lion Morgenstein ◽  
Gaoling Yang ◽  
Omri Bar-Elli ◽  
...  

AbstractIn the last decade, optical imaging methods have significantly improved our understanding of the information processing principles in the brain. Although many promising tools have been designed, sensors of membrane potential are lagging behind the rest. Semiconductor nanoparticles are an attractive alternative to classical voltage indicators, such as voltage-sensitive dyes and proteins. Such nanoparticles exhibit high sensitivity to external electric fields via the quantum-confined Stark effect. Here we report the development of lipid-coated semiconductor voltage-sensitive nanorods (vsNRs) that self-insert into the neuronal membrane. We describe a workflow to detect and process the photoluminescent signal of vsNRs after wide-field time-lapse recordings. We also present data indicating that vsNRs are feasible for sensing membrane potential in neurons at a single-particle level. This shows the potential of vsNRs for detection of neuronal activity with unprecedentedly high spatial and temporal resolution.


2018 ◽  
Vol 4 (1) ◽  
pp. e1601453 ◽  
Author(s):  
Kyoungwon Park ◽  
Yung Kuo ◽  
Volodymyr Shvadchak ◽  
Antonino Ingargiola ◽  
Xinghong Dai ◽  
...  

ACS Nano ◽  
2012 ◽  
Vol 6 (11) ◽  
pp. 10013-10023 ◽  
Author(s):  
KyoungWon Park ◽  
Zvicka Deutsch ◽  
J. Jack Li ◽  
Dan Oron ◽  
Shimon Weiss

Author(s):  
Jianheng Huang ◽  
Yaohu Lei ◽  
Xin Liu ◽  
Jinchuan Guo ◽  
Ji Li ◽  
...  

ACS Photonics ◽  
2021 ◽  
Author(s):  
Anders Kokkvoll Engdahl ◽  
Stefan Belle ◽  
Tung-Cheng Wang ◽  
Ralf Hellmann ◽  
Thomas Huser ◽  
...  

Author(s):  
Clement Porret ◽  
Srinivasan Ashwyn Srinivasan ◽  
Sadhishkumar Balakrishnan ◽  
Peter Verheyen ◽  
Paola Favia ◽  
...  

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