Volumetric bioimaging based on light field microscopy with temporal focusing illumination

Hsu, Feng Chun; Sie, Yong Da; Lai, Feng‐Jie; Chen, Shean-Jen

doi:10.1117/12.2289336

Cited by 1 publication

(1 citation statement)

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“…Compared with computational approaches, optical sectioning achieved by physical means not only rejects background, but also removes its inherent shot noise. Yang combined holographic multi-spot two-photon excitation in 3D with light field imaging [ 28 ], and Hsu and colleagues achieved localized two-photon excitation in a plane 6.8 μm thick using temporal focusing in the light field [ 29 ]. These demonstrations have solved the background issue nicely, but the imaging speeds are limited by the low fluorescence excitation efficiency of two-photon microscopy.…”

Section: Considerations In Optimizing Light Field Microscopymentioning

confidence: 99%

Volumetric Imaging of Neural Activity by Light Field Microscopy

Bai

Zhang

et al. 2022

Neurosci. Bull.

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Recording the highly diverse and dynamic activities in large populations of neurons in behaving animals is crucial for a better understanding of how the brain works. To meet this challenge, extensive efforts have been devoted to developing functional fluorescent indicators and optical imaging techniques to optically monitor neural activity. Indeed, optical imaging potentially has extremely high throughput due to its non-invasive access to large brain regions and capability to sample neurons at high density, but the readout speed, such as the scanning speed in two-photon scanning microscopy, is often limited by various practical considerations. Among different imaging methods, light field microscopy features a highly parallelized 3D fluorescence imaging scheme and therefore promises a novel and faster strategy for functional imaging of neural activity. Here, we briefly review the working principles of various types of light field microscopes and their recent developments and applications in neuroscience studies. We also discuss strategies and considerations of optimizing light field microscopy for different experimental purposes, with illustrative examples in imaging zebrafish and mouse brains.

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Section: Considerations In Optimizing Light Field Microscopymentioning

confidence: 99%