10 research outputs found

    Real-Time Light Field 3D Microscopy via Sparsity-Driven Learned Deconvolution

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    Light Field Microscopy (LFM) is a scan-less 3D imaging technique capable of capturing fast biological processes, such as neural activity in zebrafish. However, current methods to recover a 3D volume from the raw data require long reconstruction times hampering the usability of the microscope in a closed-loop system. Moreover, because the main focus of zebrafish brain imaging is to isolate and study neural activity, the ideal volumetric reconstruction should be sparse to reveal the dominant signals. Unfortunately, current sparse decomposition methods are computationally intensive and thus introduce substantial delays. This motivates us to introduce a 3D reconstruction method that recovers the spatio-temporally sparse components of an image sequence in real-time. In this work we propose a combination of a neural network (SLNet) that recovers the sparse components of a light field image sequence and a neural network (XLFMNet) for 3D reconstruction. In particular, XLFMNet is able to achieve high data fidelity and to preserve important signals, such as neural potentials, even on previously unobserved samples. We demonstrate successful sparse 3D volumetric reconstructions of the neural activity of live zebrafish, with an imaging span covering 800 × 800 × 250”m3 at an imaging rate of 24 − 88Hz, which provides a 1500 fold speed increase against prior work and enables real-time reconstructions without sacrificing imaging resolution

    Sparse decomposition light-field microscopy for high speed imaging of neuronal activity

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    One of the major challenges in large scale optical imaging of neuronal activity is to simultaneously achieve sufficient temporal and spatial resolution across a large volume. Here, we introduce sparse decomposition light-field microscopy (SDLFM), a computational imaging technique based on light-field microscopy (LFM) that takes algorithmic advantage of the high temporal resolution of LFM and the inherent temporal sparsity of spikes to improve effective spatial resolution and signal-to-noise ratios (SNRs). With increased effective spatial resolution and SNRs, neuronal activity at the single-cell level can be recovered over a large volume. We demonstrate the single-cell imaging capability of SDLFM with in vivo imaging of neuronal activity of whole brains of larval zebrafish with estimated lateral and axial resolutions of ∌3.5 ”m and ∌7.4 ”m, respectively, acquired at volumetric imaging rates up to 50 Hz. We also show that SDLFM increases the quality of neural imaging in adult fruit flies.National Science Foundation (Grant 1848029)U. S. Army Research Laboratory and the U. S. Army Research Office (Contract W911NF1510548)National Institutes of Health (Grants 1R01DA045549, 1R41MH112318, 1R43MH109332, 1RM1HG008525, 1DP1NS087724

    Failed Progenitor Specification Underlies the Cardiopharyngeal Phenotypes in a Zebrafish Model of 22q11.2 Deletion Syndrome

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    Microdeletions involving TBX1 result in variable congenital malformations known collectively as 22q11.2 deletion syndrome (22q11.2DS). Tbx1-deficient mice and zebrafish recapitulate several disease phenotypes, including pharyngeal arch artery (PAA), head muscle (HM), and cardiac outflow tract (OFT) deficiencies. In zebrafish, these structures arise from nkx2.5âș progenitors in pharyngeal arches 2–6. Because pharyngeal arch morphogenesis is compromised in Tbx1-deficient animals, the malformations were considered secondary. Here, we report that the PAA, HM, and OFT phenotypes in tbx1 mutant zebrafish are primary and arise prior to pharyngeal arch morphogenesis from failed specification of the nkx2.5âș pharyngeal lineage. Through in situ analysis and lineage tracing, we reveal that nkx2.5 and tbx1 are co-expressed in this progenitor population. Furthermore, we present evidence suggesting that gdf3-ALK4 signaling is a downstream mediator of nkx2.5âș pharyngeal lineage specification. Collectively, these studies support a cellular mechanism potentially underlying the cardiovascular and craniofacial defects observed in the 22q11.2DS population. Microdeletions encompassing the TBX1 locus cause 22q11.2 deletion syndrome (DS), which is characterized by congenital heart, aorta, and craniofacial malformations. Using a zebrafish model of 22q11.2DS, Guner-Ataman et al. demonstrate that tbx1-mutant animals fail to specify the nkx2.5âș progenitor population that gives rise to the affected structures. Keywords: Tbx1; cardiopharyngeal; zebrafish; nkx2.5; heart; DiGeorge; 22q11; progenitor; arch arter

    Precision Calcium Imaging of Dense Neural Populations via a Cell-Body-Targeted Calcium Indicator

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    © 2020 Elsevier Inc. One-photon fluorescent imaging of calcium signals can capture the activity of hundreds of neurons across large fields of view but suffers from crosstalk from neuropil. Shemesh et al. engineer cell-body-targeted variants of fluorescent calcium indicators and show in mice and zebrafish that artifactual spikes and correlations are greatly reduced
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