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Bucci, A.

Publications and source records attributed to Bucci, A..

7 recordsLinked to original sources

BrightEyes-Scope: A Reference Implementation for Image Scanning Microscopy with SPAD Array Detection

Image scanning microscopy (ISM) is emerging as the natural evolution of confocal laser-scanning microscopy, combining optical sectioning and a two-fold improvement in lateral resolution with high signal-to-noise ratio. Single-photon avalanche diode (SPAD) array detectors enable an effective implementation of ISM by recording a micro-image at each scan position with single-photon sensitivity, negligible readout noise, and without the fixed frame-readout constraints of conventional cameras. Nevertheless, SPAD array-based ISM remains largely confined to laboratories with expertise in microscope development. Here, we present BrightEyes-Scope, a reference implementation of a SPAD array-based ISM system. We provide step-by-step guidelines for optical design, system construction, alignment, calibration, data acquisition, and image reconstruction. Presented as a complete ISM microscope, BrightEyes-Scope also serves as a reference for upgrading existing laser-scanning microscopes. We anticipate that it will accelerate the adoption of ISM for quantitative super-resolution imaging.

bioengineering↗

Rapid estimation of receptive fields across stages of the early visual system

Estimating receptive fields in large neural populations is often limited by experimental time: stimuli with theoretically favorable statistics for receptive-field estimation may, in practice, evoke too few informative spikes in neurons with high specificity for structured features, requiring impracticably long recordings. Therefore, we asked whether a structured stimulus could broadly engage neural populations across stages of the early visual system while permitting a tractable and interpretable reverse-correlation analysis. To address this question, we developed "reverse correlation against stimulus elements (RCASE)", an analysis framework for stimuli that can be represented frame by frame through the presence or absence of specific stimulus elements. We then designed such a stimulus consisting of random moving objects (RMO) and compared RMO/RCASE with conventional spike-triggered averaging using a dense binary white noise (WN/STA) stimulus across different stages of the early visual system of the mouse, namely the retina, the nucleus of the optic tract, the superior colliculus and the primary visual cortex, and in the primate retina. To distinguish the contributions of spatial and temporal scales, motion, stimulus structure, and analysis choice, we additionally compared against WN/STA with different square sizes and frame rates, spike-triggered covariance analysis, as well as random static objects and spatially correlated cloud stimuli. RMO evoked stronger and more reliable responses than WN in the mouse retina and across the investigated mouse visual areas. RMO/RCASE yielded discernible receptive fields for a substantially larger proportion of neurons and in a fraction of the recording time. Although the stimulus objects featured localized moving contrast edges, this advantage was not restricted to direction-selective cell populations. In the primate retina, in contrast, WN/STA approached the performance of RMO/RCASE. RMO/RCASE also supported simultaneous estimation of stimulus direction, speed, and color tuning. Our approach enables rapid and interpretable functional characterization of large populations of visual neurons, enabling to simultaneously recover receptive fields and feature tuning, whenever a low-dimensional feature space can be specified beforehand.

neuroscience↗

Mice and humans use ambiguous local motion to stabilize gaze

Animals need to infer properties of the environment that are only ambiguously encoded by neurons in the sensory periphery. In vision, local edge motion seen through small receptive fields does not uniquely specify the direction of global or object motion. Can these ambiguous local motion signals drive behavior directly, or must the ambiguity first be resolved? We addressed this question in reflexive gaze stabilization by tracing motion signals from the retina through the nucleus of the optic tract (NOT) to eye movements, combining retinal and in vivo electrophysiology, computational modelling, and eye tracking in mice and humans. By using stimuli that dissociate local edge motion from global, object motion, we found that NOT cell responses were strongly biased towards local motion and were largely explained by linear pooling of retinal inputs. This effect propagated to behavior: eye movements followed local motion, to the point that changing the edge orientation of vertically moving objects produced horizontal eye movements. Humans showed a qualitatively similar bias, which increased when central vision was masked. Thus, ambiguous local motion signals can drive effective behavior; a conserved sensorimotor strategy in which visually guided behavior relies on a heuristic rather than an accurate reconstruction of the external world.

neuroscience↗

Action potential propagation speed compensates for traveling distance in the human retina

Neural information processing requires accurately timed action potentials arriving from presynaptic neurons at the postsynaptic neuron. However, axons of ganglion cells in the human retina feature low axonal conduction speeds and vastly different lengths, which poses a challenge to the brain for constructing a temporally coherent image over the visual field. Combining results from microelectrode array recordings, human behavioral measurements, transmission electron microscopy, and mathematical modelling of the retinal nerve fiber layer, we demonstrate that axonal propagation speeds compensate for variations in axonal length across the human retina including the fovea. The human brain synchronizes the arrival times of action potentials at the optic disc by increasing the diameters of longer axons, which increases their propagation speeds.

neuroscience↗

4D Single-Particle Tracking with Asynchronous Read-Out SPAD-Array Detector

Single-particle tracking (SPT) techniques are essential for investigating the com-plex functions and interactions of individual, specifically labelled particles in biological environments. Many SPT techniques exist, each optimised towards a different balance between spatiotemporal resolution and range, technical com-plexity, and information content. This bargain is exemplified by the contrast between wide-field camera-based and real-time SPT approaches, with the latter being generally more advanced but at the cost of high complexity. Further-more, the fluorescence lifetime, a powerful tool for investigating the particles interactions and nano-environment, has yet to be measured consistently. To overcome these limitations, we propose a novel real-time three-dimensional SPT technique based on a hybrid approach. In our implementation, we equip a confocal laser-scanning microscope with an asynchronous read-out single-photon avalanche diode (SPAD) array detector and few other optics. Each sensitive detector element acts as a confocal pinhole, and the recorded intensity distribu-tion reflects the particles position in three dimensions relative to the excitation volume. This localization is used in a real-time feedback system to keep the par-ticle in the centre of the excitation volume. Importantly, as each pixel is an independent single-photon detector, SPT is combined with fluorescence lifetime measurement. Our system achieves a localization precision of up to 30 nm with 100 photons and microsecond time resolution, while also performing fluorescence lifetime mea-surements. First, we validated the technique by tracking fluorescent particles in artificial environments. Secondly, as further validation, we investigated the move-ment of lysosomes in living SK-N-BE cells and measured the fluorescence lifetime of the GFP marker expressed on a membrane protein. We observed an unprece-dented correlation between the changes in fluorescence lifetime and the motion state of the lysosomes. Thanks to its simplicity and the great momentum of confocal microscopy based on SPAD array detector, we expect that this implementation will open to many information-rich correlative imaging and tracking studies.

biophysics↗

Receptor-linked environment-sensitive probe monitors the local membrane environment surrounding the insulin receptor

Functional membrane proteins in the plasma membrane are suggested to have specific membrane environments that play important roles to maintain and regulate the function of proteins. However, the local membrane environments of membrane proteins remain largely unexplored due to the lack of techniques allowing to monitor them in living cells. We have developed a method to probe the local membrane environment surrounding a membrane protein in the plasma membrane by covalently tethering a solvatochromic, environment-sensitive dye, Nile red, to a membrane protein via a flexible linker. Our direct imaging reported on the spatio-temporal properties of membrane fluidity of the local environment surrounding the insulin receptor. The local environment was distinct from the average plasma membrane fluidity and was quite dynamic and heterogeneous. Upon addition of insulin, the local membrane environment surrounding the receptor increased in fluidity in an insulin receptor-kinase dependent manner. This new technology should allow researchers to examine changes in membrane properties caused by receptor activation and devise ways to address the role of these changes in physiological processes.

cell biology↗

A chemogenetic approach for optical monitoring of voltage in neurons

Optical monitoring of neuronal voltage using fluorescent indicators is a powerful approach for interrogation of the cellular and molecular logic of the nervous system. Here we describe a Semisynthetic Tethered Voltage Indicator (STeVI1) based upon Nile Red that displays voltage sensitivity when genetically targeted to neuronal membranes. This environmentally sensitive probe allows for wash-free imaging and faithfully detects supra- and subthreshold activity in neurons.

neuroscience↗