Functional architecture of intracellular oscillations in hippocampal dendrites DOI Creative Commons
Zhenrui Liao, Kevin C. Gonzalez,

Deborah M. Li

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: July 26, 2024

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 with simultaneous local field recording, post hoc morphological reconstruction, a navigation task. systematically quantify modulation event rates locomotion distinct regions, report an advancing gradient theta phase along basal-tuft axis, describe predominant hyperpolarization sharp-wave ripples. Finally, find tuning representations dynamically reorganizes following place formation. Our data reveal how organization maps onto anatomy tree behavior, oscillatory network, functional cell states. Neurons receive their input three dimensions via dendrites, but activity organized unknown. authors work out rules govern this 3D structure different brain

Language: Английский

Multiregion neuronal activity: the forest and the trees DOI
Timothy A. Machado,

Isaac Kauvar,

Karl Deisseroth

et al.

Nature reviews. Neuroscience, Journal Year: 2022, Volume and Issue: 23(11), P. 683 - 704

Published: Oct. 3, 2022

Language: Английский

Citations

40

Statistically unbiased prediction enables accurate denoising of voltage imaging data DOI Creative Commons
Minho Eom, Seungjae Han, Pojeong Park

et al.

Nature Methods, Journal Year: 2023, Volume and Issue: 20(10), P. 1581 - 1592

Published: Sept. 18, 2023

Abstract Here we report SUPPORT (statistically unbiased prediction utilizing spatiotemporal information in imaging data), a self-supervised learning method for removing Poisson–Gaussian noise voltage data. is based on the insight that pixel value data highly dependent its neighboring pixels, even when temporally adjacent frames alone do not provide useful statistical prediction. Such dependency captured and used by convolutional neural network with blind spot to accurately denoise which existence of action potential time frame cannot be inferred other frames. Through simulations experiments, show enables precise denoising types microscopy image while preserving underlying dynamics within scene.

Language: Английский

Citations

33

Spatial redundancy transformer for self-supervised fluorescence image denoising DOI Creative Commons
Xinyang Li, Xiaowan Hu, Xingye Chen

et al.

Nature Computational Science, Journal Year: 2023, Volume and Issue: 3(12), P. 1067 - 1080

Published: Dec. 11, 2023

Abstract Fluorescence imaging with high signal-to-noise ratios has become the foundation of accurate visualization and analysis biological phenomena. However, inevitable noise poses a formidable challenge to sensitivity. Here we provide spatial redundancy denoising transformer (SRDTrans) remove from fluorescence images in self-supervised manner. First, sampling strategy based on is proposed extract adjacent orthogonal training pairs, which eliminates dependence speed. Second, designed lightweight spatiotemporal architecture capture long-range dependencies high-resolution features at low computational cost. SRDTrans can restore high-frequency information without producing oversmoothed structures distorted traces. Finally, demonstrate state-of-the-art performance single-molecule localization microscopy two-photon volumetric calcium imaging. does not contain any assumptions about process sample, thus be easily extended various modalities applications.

Language: Английский

Citations

23

Coordinate-based neural representations for computational adaptive optics in widefield microscopy DOI
Iksung Kang, Qinrong Zhang, Stella X. Yu

et al.

Nature Machine Intelligence, Journal Year: 2024, Volume and Issue: 6(6), P. 714 - 725

Published: June 24, 2024

Language: Английский

Citations

9

EventLFM: event camera integrated Fourier light field microscopy for ultrafast 3D imaging DOI Creative Commons
Ruipeng Guo,

Qianwan Yang,

Andrew S. Chang

et al.

Light Science & Applications, Journal Year: 2024, Volume and Issue: 13(1)

Published: June 26, 2024

Abstract Ultrafast 3D imaging is indispensable for visualizing complex and dynamic biological processes. Conventional scanning-based techniques necessitate an inherent trade-off between acquisition speed space-bandwidth product (SBP). Emerging single-shot wide-field offer a promising alternative but are bottlenecked by the synchronous readout constraints of conventional CMOS systems, thus restricting data throughput to maintain high SBP at limited frame rates. To address this, we introduce EventLFM, straightforward cost-effective system that overcomes these challenges integrating event camera with Fourier light field microscopy (LFM), state-of-the-art technique. The operates on novel asynchronous architecture, thereby bypassing rate limitations systems. We further develop simple robust event-driven LFM reconstruction algorithm can reliably reconstruct dynamics from unique spatiotemporal measurements captured EventLFM. Experimental results demonstrate EventLFM robustly fast-moving rapidly blinking fluorescent samples kHz Furthermore, highlight EventLFM’s capability neuronal signals in scattering mouse brain tissues tracking GFP-labeled neurons freely moving C. elegans . believe combined ultrafast large offered may open up new possibilities across many biomedical applications.

Language: Английский

Citations

8

Large-scale deep tissue voltage imaging with targeted-illumination confocal microscopy DOI
Sheng Xiao, W. J. Cunningham, Krishnakanth Kondabolu

et al.

Nature Methods, Journal Year: 2024, Volume and Issue: 21(6), P. 1094 - 1102

Published: June 1, 2024

Language: Английский

Citations

6

Scanless two-photon voltage imaging DOI Creative Commons
Ruth R. Sims, Imane Bendifallah, Christiane Grimm

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: June 14, 2024

Abstract Two-photon voltage imaging has long been heralded as a transformative approach capable of answering many long-standing questions in modern neuroscience. However, exploiting its full potential requires the development novel approaches well suited to photophysical properties genetically encoded indicators. We demonstrate that parallel excitation developed for scanless two-photon photostimulation enable high-SNR imaging. use whole-cell patch-clamp electrophysiology perform thorough characterization using three illumination and lasers with different repetition rates wavelengths. recordings high-frequency spike trains sub-threshold depolarizations from neurons expressing soma-targeted indicator JEDI-2P-Kv. Using low repetition-rate laser, we multi-cell up fifteen targets simultaneously. co-express JEDI-2P-Kv channelrhodopsin ChroME-ST capitalize on their overlapping absorption spectra simultaneously evoke image action potentials single laser source. also vivo multiple cells 250 µm deep barrel cortex head-fixed, anaesthetised mice.

Language: Английский

Citations

6

Probing neuronal activity with genetically encoded calcium and voltage fluorescent indicators DOI Creative Commons
Masayuki Sakamoto, Tatsushi Yokoyama

Neuroscience Research, Journal Year: 2024, Volume and Issue: unknown

Published: June 1, 2024

Monitoring neural activity in individual neurons is crucial for understanding circuits and brain functions. The emergence of optical imaging technologies has dramatically transformed the field neuroscience, enabling detailed observation large-scale neuronal populations with both cellular subcellular resolution. This transformation will be further accelerated by integration these advanced big data analysis. Genetically encoded fluorescent indicators to detect high signal-to-noise ratios are pivotal this advancement. In recent years, have undergone significant developments, greatly enhancing dynamics networks. review highlights progress genetically calcium voltage discusses future direction techniques analysis that deepens our complexities brain.

Language: Английский

Citations

5

High-throughput deep tissue two-photon microscopy at kilohertz frame rates DOI Creative Commons
Sheng Xiao, John T. Giblin, David A. Boas

et al.

Optica, Journal Year: 2023, Volume and Issue: 10(6), P. 763 - 763

Published: April 26, 2023

High-speed laser scanning microscopes are essential for monitoring fast biological phenomena. However, existing strategies that achieve millisecond time resolution with two-photon (2PMs) generally technically challenging and suffer from compromises among imaging field of view, excitation efficiency, depth penetration in thick tissue. Here, we present a versatile solution enables conventional video-rate 2PM to perform 2D at kilohertz frame rates over large fields view. Our system is based on implementation scan multiplier unit provides inertia-free multiplication the speed while preserving all benefits standard 2PM. We demonstrate subcellular-resolution an order magnitude higher throughput than previously achievable depths exceeding 500 µm, which apply study neurovascular coupling dynamics mouse brain.

Language: Английский

Citations

12

Mapping Synaptic Activity at the Population and Cellular Levels with Genetically Encoded Voltage Indicators (GEVIs) DOI

Younginha Jung,

Ryuichi Nakajima, Sung‐Min Ahn

et al.

Methods in molecular biology, Journal Year: 2025, Volume and Issue: unknown, P. 239 - 251

Published: Jan. 1, 2025

Language: Английский

Citations

0