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EventLFM:event camera integrated Fourier light field microscopy for ultrafast 3D imaging

作     者:Ruipeng Guo Qianwan Yang Andrew S.Chang Guorong Hu Joseph Greene Christopher V.Gabel Sixian You Lei Tian Ruipeng Guo;Qianwan Yang;Andrew S.Chang;Guorong Hu;Joseph Greene;Christopher V.Gabel;Sixian You;Lei Tian

作者机构:Department of Electrical and Computer EngineeringBoston UniversityBostonMA 02215USA Department of Physiology and BiophysicsBoston UniversityBostonMA 02215USA. Neurophotonics CenterBoston UniversityBostonMA 02215USA. Research Laboratory of Electronics(RLE)in the Department of Electrical Science and EngineeringMassachusetts Institute of TechnologyCambridgeMA 02139USA. Department of Biomedical EngineeringBoston UniversityBostonMA 02215USA 

出 版 物:《Light(Science & Applications)》 (光(科学与应用)(英文版))

年 卷 期:2024年第13卷第7期

页      面:1401-1415页

核心收录:

学科分类:0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 0702[理学-物理学] 

基  金:National Institutes of Health(R01NS126596) a grant from 5022-Chan Zuckerberg Initiative DAF,an advised fund of Silicon Valley Community Foundation 

主  题:field linking overcome 

摘      要:Ultrafast 3D imaging is indispensable for visualizing complex and dynamic biological *** scanning-based techniques necessitate an inherent trade-off between acquisition speed and space-bandwidth product(SBP).Emerging single-shot 3D wide-field techniques 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 *** address this,we introduce EventLFM,a straightforward and cost-effective system that overcomes these challenges by integrating an event camera with Fourier light field microscopy(LFM),a state-of-theart single-shot 3D wide-field imaging *** event camera operates on a novel asynchronous readout architecture,thereby bypassing the frame rate limitations inherent to conventional CMOS *** further develop a simple and robust event-driven LFM reconstruction algorithm that can reliably reconstruct 3D dynamics from the unique spatiotemporal measurements captured by *** results demonstrate that EventLFM can robustly reconstruct fast-moving and rapidly blinking 3D fluorescent samples at kHz frame ***,we highlight EventLFM’s capability for imaging of blinking neuronal signals in scattering mouse brain tissues and 3D tracking of GFP-labeled neurons in freely moving *** believe that the combined ultrafast speed and large 3D SBP offered by EventLFM may open up new possibilities across many biomedical applications.

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