Biology subjects

Platisa, J.

Publications and source records attributed to Platisa, J..

4 recordsLinked to original sources

bioRxiv2024

DeepVID v2: Self-Supervised Denoising with Decoupled Spatiotemporal Enhancement for Low-Photon Voltage Imaging

SignificanceVoltage imaging is a powerful tool for studying the dynamics of neuronal activities in the brain. However, voltage imaging data are fundamentally corrupted by severe Poisson noise in the low-photon regime, which hinders the accurate extraction of neuronal activities. Self-supervised deep learning denoising methods have shown great potential in addressing the challenges in low-photon voltage imaging without the need for ground truth, but usually suffer from the tradeoff between spatial and temporal performance. AimWe present DeepVID v2, a novel self-supervised denoising framework with decoupled spatial and temporal enhancement capability to significantly augment low-photon voltage imaging. ApproachDeepVID v2 is built on our original DeepVID framework,1,2 which performs frame-based denoising by utilizing a sequence of frames around the central frame targeted for denoising to leverage temporal information and ensure consistency. The network further integrates multiple blind pixels in the central frame to enrich the learning of local spatial information. Additionally, DeepVID v2 introduces a new edge extraction branch to capture fine structural details in order to learn high spatial resolution information. ResultsWe demonstrate that DeepVID v2 is able to overcome the tradeoff between spatial and temporal performance, and achieve superior denoising capability in resolving both high-resolution spatial structures and rapid temporal neuronal activities. We further show that DeepVID v2 is able to generalize to different imaging conditions, including time-series measurements with various signal-to-noise ratios (SNRs) and in extreme low-photon conditions. ConclusionsOur results underscore DeepVID v2 as a promising tool for enhancing voltage imaging. This framework has the potential to generalize to other low-photon imaging modalities and greatly facilitate the study of neuronal activities in the brain.

neuroscience↗

bioRxiv2021

High-Speed Low-Light In Vivo Two-Photon Voltage Imaging of Large Neuronal Populations

Monitoring spiking activity across large neuronal populations at behaviorally relevant timescales is critical for understanding neural circuit function. Unlike calcium imaging, voltage imaging requires kilohertz sampling rates which reduces fluorescence detection to near shot noise levels. High-photon flux excitation can overcome photon-limited shot noise but photo-bleaching and photo-damage restricts the number and duration of simultaneously imaged neurons. We investigated an alternative approach aimed at low two-photon flux, voltage imaging below the shot noise limit. This framework involved developing: a positive-going voltage indicator with improved spike detection (SpikeyGi); an ultra-fast two-photon microscope for kilohertz frame-rate imaging across a 0.4x0.4mm2 field of view, and; a self-supervised denoising algorithm (DeepVID) for inferring fluorescence from shot-noise limited signals. Through these combined advances, we achieved simultaneous high-speed, deep-tissue imaging of more than one hundred densely-labeled neurons over one hour in awake behaving mice. This demonstrates a scalable approach for voltage imaging across increasing neuronal populations.

neuroscience↗

bioRxiv2020

Voltage imaging using transgenic mouse lines expressing the GEVI ArcLight in two olfactory cell types

Genetically encoded voltage indicators (GEVIs) allow for cell-specific optical recordings of membrane potential changes in defined cell populations. One tool that would further their use in the in vivo mammalian brain is transgenic reporter animals that facilitate precise and repeatable targeting with high expression levels. The present literature on the development and use of transgenic mouse lines as vehicles for GEVI expression is limited. Here we report the first in vivo experiments using a transgenic reporter mouse for the GEVI ArcLight (Ai86(TITL-ArcLight)), which utilizes a Cre/tTA dependent expression system (TIGRE 1.0). Following pairing to appropriate Cre- and tTA transgenic mice, we report two mouse lines with ArcLight expression restricted to olfactory sensory neurons (OMP-ArcLight), and a subpopulation of interneurons that include periglomerular and granule cells (Emx1-ArcLight) in the olfactory bulb (OB). The ArcLight expression in these lines was sufficient for in vivo imaging of odorant responses in single trials. Odor responses were measured in the OB using epifluorescence and 2-photon imaging. The voltage responses were odor-specific and concentration-dependent, and confirmed earlier conclusions from calcium measurements. This study shows that the ArcLight Ai86(TITL-ArcLight) transgenic line is a flexible genetic tool that can be used to record neuronal electrical activity of a variety of cell types with a signal-to-noise ratio that is comparable to previous reports using viral transduction.

neuroscience↗

bioRxiv2020

Different categories of fluorescent proteins result in GEVIs with similar characteristics

The latest generation of genetically encoded voltage indicators (GEVIs) is significantly advancing our ability to study electrical activity from large numbers of identified neurons. The further refinement of the technology will contribute to our understanding of behavior-evoked information perception, transfer and processing on a cellular level across brain regions. The development of GEVIs relies on synthetic biology which includes rational and random modifications of indicator sequence. One strategy in GEVI design is based on creating chimeras between voltage sensitive protein domains (VSDs) and fluorescent proteins (FPs). However, in this design scenario, the mechanistic details of voltage-induced fluorescence change that would inform rational design and improvements of GEVIs are still largely missing. Here we preformed a systematic study of how nature of the FP and altering the insertion site affects the characteristics of Ciona intestinalis voltage-sensitive phosphatase-based GEVIs. Surprisingly, we found that regardless of vast difference in phylogenesis, biochemical properties, fluorophore structure, sequence and excitation/emission spectra between FPs, the resulting GEVIs exhibit virtually identical decrease in fluorescence intensity in response to depolarization. These results stand in strong contrast to studies demonstrating that small numbers of targeted mutations in the FP sequence cause dramatic changes in both signal size and polarity.

neuroscience↗