Efficient multi-site two-photon functional imaging of neuronal circuits

Castañares, Michael Lawrence; Gautam, Vini; Drury, J. C.; Bachor, Hans‐A.; Daria, Vincent Ricardo

doi:10.1364/boe.7.005325

Cited by 19 publications

(8 citation statements)

References 28 publications

(14 reference statements)

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“…Fluorescence from the multiple foci was collected using a high-speed sCMOS camera. They reduced the repetition rate and increased the pulse energy of the laser to improve the fluorescence yield per focus similar to the technique proposed by Castanares et al ( 2016 ) for multi-site holographic imaging. On the other hand, Kazemipour et al ( 2019 ) scanned and sampled the fluorescence from line foci projected at several angles along the sample plane to achieve high-speed imaging of up to 1016 frames/s.…”

Section: Optical Imaging Of Neuronal Activitymentioning

confidence: 99%

“…The generalized phase contrast (Glückstad 1996 ) and holographic projection techniques (Dufresne and Grier 1998 ) encode phase patterns on a spatial light modulator (SLM) to decompose a single laser into multiple beams. These techniques have now been ported to probe neuronal activity (Nikolenko et al 2008 ; Lutz et al 2008 ; Papagiakoumou et al 2010 ; Dal Maschio et al 2010 ; Anselmi et al 2011 ; Yang et al 2011 ; Go et al 2012 ; Go et al 2013 ; Ducros et al 2013 ; Bovetti and Fellin 2015 ; Foust et al 2015 ; Castanares et al 2016 ; Bovetti et al 2017 ; Go et al 2019 ; Castanares et al 2019 ; Castanares et al 2020 ).…”

Section: Optical Imaging Of Neuronal Activitymentioning

confidence: 99%

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Spatio-temporal parameters for optical probing of neuronal activity

2021

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The challenge to understand the complex neuronal circuit functions in the mammalian brain has brought about a revolution in light-based neurotechnologies and optogenetic tools. However, while recent seminal works have shown excellent insights on the processing of basic functions such as sensory perception, memory, and navigation, understanding more complex brain functions is still unattainable with current technologies. We are just scratching the surface, both literally and figuratively. Yet, the path towards fully understanding the brain is not totally uncertain. Recent rapid technological advancements have allowed us to analyze the processing of signals within dendritic arborizations of single neurons and within neuronal circuits. Understanding the circuit dynamics in the brain requires a good appreciation of the spatial and temporal properties of neuronal activity. Here, we assess the spatio-temporal parameters of neuronal responses and match them with suitable light-based neurotechnologies as well as photochemical and optogenetic tools. We focus on the spatial range that includes dendrites and certain brain regions (e.g., cortex and hippocampus) that constitute neuronal circuits. We also review some temporal characteristics of some proteins and ion channels responsible for certain neuronal functions. With the aid of the photochemical and optogenetic markers, we can use light to visualize the circuit dynamics of a functioning brain. The challenge to understand how the brain works continue to excite scientists as research questions begin to link macroscopic and microscopic units of brain circuits.

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Section: Optical Imaging Of Neuronal Activitymentioning

confidence: 99%

Section: Optical Imaging Of Neuronal Activitymentioning

confidence: 99%

Spatio-temporal parameters for optical probing of neuronal activity

2021

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“…We used a custom-built two-photon microscope as previously reported (Go et al, 2013, Go et al, 2016 and modified it to include a widefield imaging camera for holographic calcium imaging (Castanares et al, 2016, Castanares et al, 2019 (Supplementary Figure 2). The microscope uses a near-infrared femtosecond laser (Chameleon, Coherent Scientific) and galvanometer scanning mirrors to render a 3D image of the patched neuron ( Supplementary Figure 7a).…”

Section: Two-photon Holographic Calcium Imagingmentioning

confidence: 99%

Dendritic spikes in apical oblique dendrites of cortical layer 5 pyramidal neurons

Castañares

Stuart

Daria

2020

Preprint

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Dendritic spikes in layer 5 pyramidal neurons (L5PNs) play a major role in cortical computation. While dendritic spikes have been studied extensively in apical and basal dendrites of L5PNs, whether oblique dendrites, which ramify in the input layers of the cortex, also generate dendritic spikes is unknown. Here we report the existence of dendritic spikes in apical oblique dendrites of L5PNs. In silico investigations indicate that oblique branch spikes are triggered by brief, low-frequency action potential (AP) trains (~40 Hz) and are characterized by a fast sodium spike followed by activation of voltage-gated calcium channels. In vitro experiments confirmed the existence of oblique branch spikes in L5PNs during brief AP trains at frequencies of around 60 Hz. Oblique branch spikes offer new insights into branch-specific computation in L5PNs and may be critical for sensory processing in the input layers of the cortex.

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“…However, this serial acquisition limits the imaging speed. Efforts to increase acquisition speed include engineered beam trajectories [7] – [10] , spatial and/or temporal multiplexing of multiple foci [6] , [11] – [17] , as well as sculpting fluoroscence excitation into an extended point-spread function [18] – [21] , either scanned or targeted statically onto neurons of interest.…”

Section: Introductionmentioning

confidence: 99%

3D Localization for Light-Field Microscopy via Convolutional Sparse Coding on Epipolar Images

Song

Jadan

Howe

et al. 2020

IEEE Trans. Comput. Imaging

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Light-field microscopy (LFM) is a type of all-optical imaging system that is able to capture 4D geometric information of light rays and can reconstruct a 3D model from a single snapshot. In this paper, we propose a new 3D localization approach to effectively detect 3D positions of neuronal cells from a single light-field image with high accuracy and outstanding robustness to light scattering. This is achieved by constructing a depth-aware dictionary and by combining it with convolutional sparse coding. Specifically, our approach includes 3 key parts: light-field calibration, depth-aware dictionary construction, and localization based on convolutional sparse coding (CSC). In the first part, an observed raw light-field image is calibrated and then decoded into a two-plane parameterized 4D format which leads to the epi-polar plane image (EPI). The second part involves simulating a set of light-fields using a wave-optics forward model for a ball-shaped volume that is located at different depths. Then, a depth-aware dictionary is constructed where each element is a synthetic EPI associated to a specific depth. Finally, by taking full advantage of the sparsity prior and shift-invariance property of EPI, 3D localization is achieved via convolutional sparse coding on an observed EPI with respect to the depthaware EPI dictionary. We evaluate our approach on both nonscattering specimen (fluorescent beads suspended in agarose gel) and scattering media (brain tissues of genetically encoded mice). Extensive experiments demonstrate that our approach can reliably detect the 3D positions of granular targets with small Root Mean Square Error (RMSE), high robustness to optical aberration and light scattering in mammalian brain tissues.

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Efficient multi-site two-photon functional imaging of neuronal circuits

Cited by 19 publications

References 28 publications

Spatio-temporal parameters for optical probing of neuronal activity

Spatio-temporal parameters for optical probing of neuronal activity

Dendritic spikes in apical oblique dendrites of cortical layer 5 pyramidal neurons

3D Localization for Light-Field Microscopy via Convolutional Sparse Coding on Epipolar Images

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