Stephen W. Evans

ORCID: 0000-0003-3904-0715
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About
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Research Areas
  • Advanced Fluorescence Microscopy Techniques
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Photoreceptor and optogenetics research
  • Neuroscience and Neuropharmacology Research
  • Electrochemical Analysis and Applications
  • Memory and Neural Mechanisms
  • Marine animal studies overview
  • Advanced Memory and Neural Computing
  • 3D Printing in Biomedical Research
  • Caveolin-1 and cellular processes
  • Fatty Acid Research and Health
  • Cell Adhesion Molecules Research
  • Cell Image Analysis Techniques
  • Immune Response and Inflammation

Stanford University
2017-2024

Stanford Medicine
2021-2023

University of Leeds
1995-2021

Bioengineering Center
2017

Monitoring voltage dynamics in defined neurons deep the brain is critical for unraveling function of neuronal circuits but challenging due to limited performance existing tools. In particular, while genetically encoded indicators have shown promise optical detection transients, many exhibit low sensitivity when imaged under two-photon illumination. Previous studies thus fell short visualizing individual single trials. Here, we report ASAP2s, a novel indicator with improved sensitivity. By...

10.7554/elife.25690 article EN cc-by eLife 2017-07-27

Fast electrical signaling in dendrites is central to neural computations that support adaptive behaviors. Conventional techniques lack temporal and spatial resolution the ability track underlying membrane potential dynamics present across complex three-dimensional dendritic arbor vivo. Here, we perform fast two-photon imaging of somatic single pyramidal cells CA1 region mouse hippocampus during awake behavior. We study subthreshold suprathreshold events throughout vivo by combining voltage...

10.1038/s41467-024-50546-z article EN cc-by-nc-nd Nature Communications 2024-07-26

ABSTRACT Imaging of transmembrane voltage deep in brain tissue with cellular resolution has the potential to reveal information processing by neuronal circuits living animals minimal perturbation. Multi-photon imaging vivo , however, is currently limited speed and sensitivity both indicators methods. Here, we report engineering an improved genetically encoded indicator, ASAP3, which exhibits up 51% fluorescence responses physiological range, sub-millisecond activation kinetics, full...

10.1101/445064 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2018-10-17

Abstract Neuronal spiking activity is routinely recorded using genetically encoded calcium indicators (GECIs), but imaging limited in temporal resolution and does not report subthreshold voltage changes. Genetically (GEVIs) offer better sensitivity, spike detection with fast GEVIs has required specialized equipment. Here, we the ASAP4 subfamily of that brighten response to membrane depolarization, inverting fluorescence-voltage relationship previous ASAP GEVIs. Two variants, ASAP4b ASAP4e,...

10.1101/2021.10.21.465345 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-10-23

Fast electrical signaling in dendrites is central to neural computations that support adaptive behaviors. Conventional techniques lack temporal and spatial resolution the ability track underlying membrane potential dynamics present across complex three-dimensional dendritic arbor vivo . Here, we perform fast two-photon imaging of somatic single pyramidal cells CA1 region mouse hippocampus during awake behavior. We study subthreshold suprathreshold events throughout by combining voltage with...

10.1101/2024.02.12.579750 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2024-02-12

Understanding information processing in the brain requires us to monitor neural activity vivo at high spatiotemporal resolution. Using an ultrafast two-photon fluorescence microscope (2PFM) empowered by all-optical laser scanning, we imaged up 3,000 frames per second and submicron spatial This imaging method enabled monitoring of both supra- sub-threshold electrical down 345 μm below surface head fixed awake mice.

10.1101/543058 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2019-02-06

Technologies for recording and manipulating transmembrane potential in vivo defined neuronal populations with high fidelity will be essential to understand how information is represented, processed, propagated the brain. Genetically encoded voltage indicators (GEVIs) optogenetic actuators are especially promising as they can expressed cell types compatible long-term chronic imaging vivo. Cellular vivo, however, suffers from limitations of both speed sensitivity inherent current modalities.

10.1364/brain.2018.bth4c.2 article EN 2018-01-01
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