Published: Jan. 1, 2024
We apply adaptive excitation to a fast two-photon microscope image voltage activity in multiple neurons simultaneously at > 600 μm depth awake mouse brains.
Language: Английский
Published: Jan. 1, 2024
We apply adaptive excitation to a fast two-photon microscope image voltage activity in multiple neurons simultaneously at > 600 μm depth awake mouse brains.
Language: Английский
Cell, Journal Year: 2024, Volume and Issue: 187(17), P. 4458 - 4487
Published: Aug. 1, 2024
Language: Английский
Citations
21Light 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
8Journal of Biophotonics, Journal Year: 2024, Volume and Issue: 17(1)
Published: Jan. 1, 2024
Regenerative medicine, which utilizes stem cells for tissue and organ repair, holds immense promise in healthcare. A comprehensive understanding of cell characteristics is crucial to unlock their potential. This study explores the pivotal role optical microscopy advancing regenerative medicine as a potent tool research. Advanced techniques enable an in-depth examination behavior, morphology, functionality. The review encompasses current microscopy, elucidating its capabilities constraints imaging, while also shedding light on emerging technologies improved visualization. Optical complemented by like fluorescence multiphoton enhances our comprehension dynamics. introduction label-free imaging facilitates noninvasive, real-time monitoring without external dyes or markers. By pushing boundaries researchers reveal intricate cellular mechanisms underpinning processes, thereby more effective therapeutic strategies. not only outlines future but underscores both structural functional imaging.
Language: Английский
Citations
5Optics Express, Journal Year: 2024, Volume and Issue: 32(10), P. 17143 - 17143
Published: April 5, 2024
Fast 3D volume imaging methods have been playing increasingly important roles in biological studies. In this article, we present the design and characterization of a multi-focus line-scanning two-photon microscope. Specifically, digital micromirror device (DMD) is employed to generate randomly distributed focus array on plane (i.e., x-z) via binary holography. Next, galvanometric mirror scans direction normal y-axis) over volume. For sparse samples, e.g., neural networks brain, 1-3 foci are used together with compressive sensing algorithm achieve rate 15.5 volumes/sec 77 × 120 40 µm
Language: Английский
Citations
2bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: April 20, 2024
Abstract Understanding the morphology and function of large-scale cerebrovascular networks is crucial for studying brain health disease. However, reconciling demands imaging on a broad scale with precision high-resolution volumetric microscopy has been persistent challenge. In this study, we introduce Bessel beam optical coherence an extended focus to capture full cortical vascular hierarchy in mice over 1000 × 360 μm 3 field-of-view at capillary level resolution. The post-processing pipeline leverages supervised deep learning approach precise 3D segmentation angiograms, hence permitting reliable examination microvascular structures multiple spatial scales. Coupled high-sensitivity Doppler tomography, our method enables computation both axial transverse blood velocity components as well vessel-specific flow direction, facilitating detailed assessment morpho-functional characteristics across all vessel dimensions. Through graph-based analysis, deliver insights into connectivity, way from individual capillaries broader network interactions, task traditionally challenging vivo studies. new analysis framework extends frontiers research neurovascular pathologies.
Language: Английский
Citations
1Light Science & Applications, Journal Year: 2024, Volume and Issue: 13(1)
Published: Nov. 11, 2024
Understanding the morphology and function of large-scale cerebrovascular networks is crucial for studying brain health disease. However, reconciling demands imaging on a broad scale with precision high-resolution volumetric microscopy has been persistent challenge. In this study, we introduce Bessel beam optical coherence an extended focus to capture full cortical vascular hierarchy in mice over 1000 × 360 μm
Language: Английский
Citations
1Neurophotonics, Journal Year: 2023, Volume and Issue: 10(03)
Published: Sept. 12, 2023
Brief disruptions in capillary flow, commonly referred to as "stalling," have gained interest recently for their potential role disrupting cerebral blood flow and oxygen delivery. Approaches studying this phenomenon been hindered by limited volumetric imaging rates cumbersome manual analysis. The ability precisely efficiently quantify the dynamics of these events will be key understanding stroke neurodegenerative diseases, such Alzheimer's disease.
Language: Английский
Citations
3bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown
Published: Nov. 13, 2023
Abstract Functional imaging of biological dynamics generally begins with acquiring time-series images, followed by quantifying spatially averaged intensity traces for the regions interest (ROIs). The conventional pipeline discards a substantial portion acquired data when traces, indicative inefficient acquisition. Here we propose conceptually novel acquisition that assigns each ROI to single pixel in detector, enabling optimally compressed traces. As proof-of-principle, implemented detection module composed pair spatial light modulators and microlens array, which segments original image into multiple subimages introducing distinct angular shifts ROI. Each subimage exclusively encodes signal corresponding ROI, facilitating readout its trace using pixel. This compression allowed maximizing temporal information without compromising on ROIs. Harnessing our approach, demonstrate recording circuit-scale neuronal voltage at over 5 kHz sampling rate, revealing individual action potential waveforms within subcellular structures, as well their submillisecond-scale delays.
Language: Английский
Citations
2Optics Express, Journal Year: 2023, Volume and Issue: 31(22), P. 36420 - 36420
Published: Oct. 5, 2023
We report the modification of a label-free image scanning microscope (ISM) to perform asynchronous 2D imaging at up 24kHz while keeping lateral resolution gain and background rejection regular ISM setup. Our method uses resonant mirror oscillating 12kHz for one-direction chromatic line instantaneous in other direction. adapt optical photon reassignment this regime fully super-resolution imaging. exploit kHz capabilities confocal system single nanoparticle tracking down 20 nm gold 50 silica particles as well freely moving Lactobacillus with improved resolution.
Language: Английский
Citations
2IEEE Transactions on Medical Imaging, Journal Year: 2024, Volume and Issue: 43(6), P. 2159 - 2168
Published: Jan. 24, 2024
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Language: Английский
Citations
0