Biology subjects

Vicidomini, G.

Publications and source records attributed to Vicidomini, G..

At least 19 recordsLinked to original sources

bioRxiv2026

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↗

bioRxiv2026

Independent noise realizations enable morphologically agnostic image reconstruction in single-photon-sensitive microscopy

Advances in single-photon sensitive detectors are rapidly expanding the adoption of photon-counting fluorescence microscopy. Under the Poisson photon-counting statistics, iterative Richardson-Lucy (RL) -type algorithms are statistically optimal for image deconvolution but suffers from a fundamental semi-convergent behaviour: prolonged iterations inevitably amplify noise, requiring heuristic early stopping or regularisation typically based on assumptions about object morphology. Here we present a morphology-agnostic regularisation framework for RL deconvolution that exploits independent noise realisations instead of structural object priors. Preserving the Poisson statistics of the acquisition process, we formulate the Regularized by Noise (RbN): a regularized variational framework and its corresponding iterative minimization algorithm that exploit the statistical consistency of independent noise realisations to distinguish reproducible image features from stochastic noise. The regularisation strength is selected automatically using the Poisson residual whiteness principle, resulting in a fully data-driven reconstruction without heuristic parameter tuning. Photon-timing-resolved systems naturally provide the independent noise realisations exploited by our framework, whereas computational photon splitting provides a statistically equivalent implementation for photon-counting systems. We validate the approach experimentally using photon-timing-resolved confocal microscopy and image scanning microscopy across eight morphologically distinct subcellular targets, and further demonstrate its applicability to photon-counting microscopes through computational photon splitting. Across imaging modalities, detector technologies, biological structures and signal-to-noise regimes, our method eliminates RL semi-convergence, removes sensitivity to the stopping criterion, and consistently outperforms conventional RL while preserving fine structural detail. More broadly, our results establish independent noise realisations as a general source of morphology-agnostic regularisation. Although demonstrated here for SPAD-based laser-scanning microscopy and Poisson statistics, the underlying principle could be extended to other imaging modalities and, more generally, to statistical inverse problems through appropriate noise-specific formulations.

biophysics↗

bioRxiv2026

Mapping the diffusional landscape of short NEAT1 in living cells

The long non-coding RNA NEAT1 is a fundamental architect of nuclear condensates, specifically paraspeckles. While the scaffold-essential isoform NEAT1-2 has been extensively characterized, the function and dynamics of its shorter isoform, NEAT1-1, remain poorly understood. Investigating NEAT1-1 in live cells has been historically hindered by its genomic overlap with NEAT1-2. Traditional visualization study designs require either the genetic ablation of NEAT1-2, which disrupts paraspeckle integrity, or the use of bulky tandem tagging arrays, which can sterically hinder RNA folding and partitioning. Here, we implemented a non-invasive imaging strategy and performed diffusivity analysis of NEAT1-1 using the fluorescence light-up aptamer biRhoBAST. This small, high-affinity RNA tag enables high-contrast visualization of NEAT1-1 while preserving the structural integrity of both isoforms and their associated nuclear bodies. By combining imaging and fluorescence fluctuation spectroscopy, we provide characterization of NEAT1-1 within intact micro-and para-speckles. Our results reveal that NEAT1-1 is not purely sequestered within visible condensates; rather, a fraction exists in a distinct diffusive state within the nucleoplasm, likely as nanoscale complexes. These findings suggest that NEAT1-1 possesses a previously unrecognized regulatory role independent of the primary paraspeckle scaffold, offering new insights into the functional diversity of the lncRNA isoforms.

biophysics↗

bioRxiv2026

BrightEyes-FFS: an open-source platform for comprehensive analysis of fluorescence fluctuation spectroscopy experiments with small detector arrays

Fluorescence fluctuation spectroscopy (FFS) is an ensemble of techniques for quantitative measurement of molecular dynamics and interactions. Recently, the introduction of small-format array detectors has opened up a new range of spatiotemporal information, allowing for more detailed analysis of system kinetics. However, there is currently no open-source software available for analyzing the high-dimensional FFS data sets. We present BrightEyes-FFS, an open-source Python-based environment for FFS analysis with array detectors. The environment includes a Python package for reading raw FFS data, computing auto- and cross-correlations using various algorithms, and fitting the correlations to several models. A graphical user interface (GUI), available as a standalone executable, makes the analysis fast and user-friendly. An automated Jupyter Notebook writing tool enables transition from the GUI to Jupyter Notebook for custom analysis. We believe that BrightEyes-FFS will enable a wider community to study diffusion, flow, and interaction dynamics.

bioinformatics↗

bioRxiv2025

Open-Source 3D Active Sample Stabilization for Fluorescence Microscopy

Super-resolution microscopy has enabled imaging at nanometer-scale resolution. However, achieving this level of detail without introducing artifacts that could mislead data interpretation requires maintaining sample stability throughout the entire imaging acquisition. This process can range from a few seconds to several hours, particularly when combining live-cell imaging with super-resolution techniques. Here, we present a 3D active sample stabilization system based on real-time tracking of fiducial markers. To ensure broad accessibility, the system is designed using readily available off-the-shelf optical and photonic components. Additionally, the accompanying software is open-source and written in Python, facilitating adoption and customization by the community. We achieve a standard deviation of the sample movement within 1 nm in both the lateral and axial direction for a duration in the range of hours. Our approach allows easy integration into existing microscopes, not only making prolonged super-resolution microscopy more accessible but also allowing confocal and widefield live-cell imaging experiments spanning hours or even days.

biophysics↗

bioRxiv2025

Wavefront estimation through structured detection in laser scanning microscopy

Laser scanning microscopy (LSM) is the base of numerous advanced imaging techniques, including confocal laser scanning microscopy (CLSM), a widely used tool in life sciences research. However, its effective resolution is often compromised by optical aberrations, a common challenge in all optical systems. While adaptive optics (AO) can correct these aberrations, current methods face significant limitations: Aberration estimation, which is central to any AO approach, typically requires specialized hardware or prolonged sample exposure, rendering these methods sample-invasive, and less user-friendly. In this study, we introduce a simple and efficient AO approach for CLSM systems equipped with a detector array - the same of super-resolved image-scanning microscopy - and an AO element for beam shaping. We demonstrate that imaging datasets acquired with a detector array inherently encode aberration information. Leveraging this property, we developed a custom convolutional neural network capable of decoding aberrations, up to the 11th Zernike coefficient, directly from a single acquisition. This method enables a new generation of AO implementations for LSM, offering an accessible solution that minimizes sample stress while achieving high-resolution, and aberration-free imaging.

bioengineering↗

bioRxiv2024

The role of RNA in the nanoscale organization of alpha-synuclein phase separation

The cellular accumulation of alpha-synuclein (aS) aggregates is a hallmark of several neurodegenerative diseases. Recent studies suggest that the aberrant transition of monomeric aS into solid-like aggregates may occur through an intermediate liquid-like state, where the protein partitions between dense and dilute phases. Although aS is not typically recognized as an RNA-binding protein, it can bind RNA under aggregation conditions, but its impact on aS liquid-like phases remains unexplored. Employing a combination of fluorescence spectroscopy techniques, we investigated aS dynamics in both phases in the presence of RNA. Our analysis revealed the formation of nanoclusters involved in initiating phase separation and uncovered heterogeneity within the dense phase, discovering that aS molecules exist in two distinct mobility states. Additionally, we demonstrated that RNA induces morphological changes and promotes the liquid-to-solid transition of aS dense phase. These findings underscore the active role of RNA in modulating aS phase transitions.

biophysics↗

bioRxiv2024

Array Detection Enables Large Localization Range for Simple and Robust MINFLUX

The MINFLUX concept significantly enhances the spatial resolution of single-molecule localization microscopy (SMLM) by overcoming the limit imposed by the fluorophores photon counts. Typical MINFLUX microscopes localize the target molecule by scanning a zero-intensity focus around the molecule in a circular trajectory, with smaller trajectory diameters yielding lower localization uncertainties for a given number of photons. Since this approach requires the molecule to be within the scanned trajectory, MINFLUX typically relies on a photon-demanding iterative scheme with decreasing trajectory diameters. Although the iterative procedure does not substantially reduce the photon efficiency of MINFLUX, this approach is prone to misplacements of the trajectory and increases the systems complexity. In this work, we introduce ISM-FLUX, a novel implementation of MINFLUX using image-scanning microscopy (ISM) with a single-photon avalanche diode (SPAD) array detector. ISM-FLUX provides precise MINFLUX localization within the trajectory while maintaining conventional photon-limited uncertainty outside it. The robustness of ISM-FLUX localization results in a larger localization range and greatly simplifies the architecture, which may facilitate broader adoption of MIN-FLUX.

bioengineering↗

bioRxiv2023

M6A reduction relieves FUS-associated ALS granules

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease due to gradual motorneurons (MN) degeneration1. Among the processes associated to ALS pathogenesis, there is the formation of cytoplasmic inclusions produced by mutant protein aggregation, among which the RNA binding protein FUS2. In this work we show that such inclusions are significantly reduced in number and dissolve faster when the RNA m6A content is diminished as a consequence of the m6A writer METTL3 knock-down. These effects were observed both in neuronal cell lines and in iPSC-derived human motor neurons expressing mutant FUS. Importantly, stress granules formed in ALS condition showed a distinctive transcriptome with respect to control cells; interestingly, after METTL3 downregulation, it reverted to similar to control. Finally, we show that FUS inclusions are reduced also in patient-derived fibroblasts treated with STM-2457, a well characterized inhibitor of METTL3 activity, paving the way for its possible use for counteracting aggregate formation in ALS.

molecular biology↗

bioRxiv2023

ALS-associated FUS mutation reshapes the RNA and protein composition and dynamic of Stress Granules.

Stress Granules (SG) formation is a cellular protection mechanism, constituting a storage for untranslated mRNAs and RNA-binding proteins (RBPs); however, these condensates can turn into pathological aggregates, related to the onset of neurodegenerative diseases like Amyotrophic Lateral Sclerosis (ALS). This transition towards cytotoxic inclusions is triggered by ALS-causative mutations in the RBP FUS, which lead to its cytoplasmic mis-localization and accumulation in SG. Here, we describe the SG transcriptome in a neural context and describe several features for RNA recruitment in SG. We demonstrate that SG dynamics and RNA content are strongly modified by the incorporation of mutant FUS, switching to a more unstructured, AU-rich SG transcriptome. Moreover, we show that mutant FUS, together with its protein interactors and their target RNAs, are responsible for the reshaping of the mutant SG transcriptome with alterations that can be linked to neurodegeneration. Therefore, our data give a comprehensive view of the molecular differences between physiological and pathological SG in ALS conditions, showing how FUS mutations impact the RNA and protein population of these condensates.

molecular biology↗

bioRxiv2023

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↗

bioRxiv2023

A Compact and Effective Photon-Resolved Image Scanning Microscope

Fluorescence confocal laser-scanning microscopy (LSM) is one of the most popular tools for life science research. This popularity is expected to grow thanks to single-photon array detectors tailored for LSM. These detectors offer unique single-photon spatiotemporal information, opening new perspectives for gentle and quantitative super-resolution imaging. However, a flawless recording of this information poses significant challenges for the microscope data-acquisition system. Here, we present a data-acquisition module based on the digital frequency domain principle, able to record photons essential spatial and temporal features. We use this module to extend the capabilities of established imaging techniques based on single-photon avalanche diode (SPAD) array detectors, such as fluorescence lifetime image scanning microscopy. Furthermore, we use the module to introduce a robust multi-species approach encoding the fluorophores excitation spectra in the time domain. Lastly, we combine time-resolved stimulated emission depletion microscopy with image scanning microscopy, boosting spatial resolution. Our results demonstrate how a conventional fluorescence laser scanning microscope can transform into a simple, information-rich, super-resolved imaging system with the simple addition of a SPAD array detector with a tailored data acquisition system. We expected a blooming of advanced single-photon imaging techniques which effectively harness all the sample information encoded in each photon.

biophysics↗

bioRxiv2023

Content-enriched fluorescence lifetime fluctuation spectroscopy to study bio-molecular condensate formation

Quantitative fluorescence microscopy is experiencing an important revolution thanks to single-photon array detectors. These detectors provide users with so far inaccessible specimen information: The distribution of the specimens fluorescence emission at single-photon level and high spatiotemporal sampling. In laser-scanning microscopy, this photon-resolved measurement has enabled robust fluorescence lifetime imaging at sub-diffraction spatial resolution, thus opening new perspectives for structural and functional imaging. Despite these significant advances in imaging, studying the time evolution of biological processes remains a considerable challenge. Here we present a com-prehensive framework of live-cell spectroscopy methodologies - compatible with imaging - to investigate bio-molecular processes at various spatiotemporal scales. We use photon-resolved spatial and temporal measurements granted by a single-photon array detector to boost the information content of a unified fluorescence fluctuation spectroscopy and fluorescence lifetime experiment. To demonstrate the potential of this approach, we investigate the phase transition of liquid-like condensates during oxidative stress inside living cells. These condensates are generally found in several cellular processes and exhibit substantial variations in molecular composition, size, and kinetics, posing a significant challenge for quantifying their underlying molecular dynamics. This study demonstrates how the pro-posed approach reveals the mutual dynamics of different RNA-binding proteins involved in the stress granules formation - inaccessible to imaging alone. We observe condensate formation by performing time-lapse super-resolved imaging of the cellular macro-environment while simultaneously monitoring the molecular mobility, the sub-diffraction environment organization, interactions, and nano-environment properties through fluorescence lifetime fluctuation spectroscopy. We are confident that our framework offers a versatile toolkit for investigating a broad range of bio-molecular processes - not limited to liquid-liquid phase transition - and we anticipate their widespread application in future life-science research.

biophysics↗

bioRxiv2022

Focus-ISM for Sharp and Gentle Super-Resolved Microscopy

Super-resolution microscopy is routinely used for fixed and thin samples, while its feasibility for imaging live and thick samples is still limited. In the case of stimulated emission depletion (STED) microscopy, the high-intensity illumination required to achieve effective sub-diffraction resolution can introduce photo-damage, thus reducing the compatibility of the technique with live-cell imaging. Moreover, the out-of-focus fluorescence background may overcome the often faint signal stemming from the focal point, thus constraining imaging to thin samples. Here, we combined STED microscopy with image-scanning microscopy (ISM) to mitigate these limitations without any practical disadvantages. We first enhanced a laser scanning microscope (LSM) by introducing a detector array, hence providing access to a set of additional spatial information that is not available with a typical single-element detector. Then, we exploited this extended dataset to implement focus-ISM, a novel method that relaxes the high-intensity requirement of STED microscopy and removes the out-of-focus background. Additionally, we generalized the focus-ISM method to conventional LSM, namely without a STED beam. The proposed approach requires minimal architectural changes compared with conventional STED microscopes but provides substantial advantages for live and thick sample imaging while maintaining all compatibility with all recent advances in STED and confocal microscopy. As such, focus-ISM represents an essential step towards a universal super-resolved LSM technique for subcellular imaging.

biophysics↗

bioRxiv2022

ISM-FLUX: single-step MINFLUX with an array detector

Single-molecule localization based on the concept of MINFLUX allows for molecular resolution imaging and tracking. However, MINFLUX has a limited field-of-view (FOV) and therefore requires a precise pre-localization step. We propose ISM-FLUX, a localization technique that combines structured illumination with structured detection. We show via simulations that by replacing the point-detector with a small single-photon detector array (e.g., of 5 x 5 elements) and sequentially exciting the sample with four spatially separated doughnut-shaped beams, a localization uncertainty between 1 and 15 nm can be obtained over a FOV of more than 800 nm with 100 photons. The large FOV and the extra spatial information induced by the detector array relax the requirements on prior information on the fluorophores position. In addition, ISM-FLUX allows the localization of multiple molecules simultaneously. We calculate the effect of different parameters, such as the relative position of the doughnut beams, the number of detector pixels, the number of photons and the signal-to-background ratio, on the localization uncertainty. We predict that the combination of a good localization precision and the experimental simplicity of ISM-FLUX will help the wide adoption of MINFLUX and other derived microscopy techniques.

biophysics↗

bioRxiv2021

The BrightEyes-TTM: an Open-Source Time-Tagging Module for Single-Photon Microscopy

Fluorescence laser-scanning microscopy (LSM) is experiencing a revolution thanks to the introduction of new asynchronous read-out single-photon (SP) array detectors. These detectors give access to an entirely new set of single-photon information typically lost in conventional fluorescence LSM, thus triggering a new imaging/spectroscopy paradigm - the so-called singlephoton LSM (SP-LSM). The revolutions outcomes are, from one side, the blooming of new SP-LSM techniques and tailored SP array detectors; from the other side, the need for data-acquisition (DAQ) systems effectively supporting such innovations. In particular, there is a growing need for DAQ systems capable of handling the high throughput and high temporal resolution information generated by the single-photon detectors. To fill this gap, we developed an open-source multi-channel timetagging module (TTM) based on a field-programmable-gatearray (FPGA), that can temporally tag single-photon events - with 30 ps precision - and synchronisation events - with 4 ns precision. Furthermore, being an open-access project, the TTM can be upgraded, modified, and customized by the microscopy-makers. We connected the TTM to a fluorescence LSM equipped with a single-photon avalanche diode (SPAD) bi-dimensional array detector, and we implemented fluorescence lifetime image scanning microscopy (FLISM) and, for the first time, fluorescence lifetime fluctuation spectroscopy (FLFS). We expect that our BrigthEyes-TTM will support the microscopy community to spread SP-LSM in many life science labs.

bioengineering↗

bioRxiv2021

EVALUATION OF STED SUPER-RESOLUTION IMAGE QUALITY BY IMAGE CORRELATION SPECTROSCOPY (QuICS)

Quantifying the imaging performances in an unbiased way is of outmost importance in super-resolution microscopy. Here, we describe an algorithm based on image correlation spectroscopy (ICS) that can be used to assess the quality of super-resolution images. The algorithm is based on the calculation of an autocorrelation function and provides three different parameters: the width of the autocorrelation function, related to the spatial resolution; the brightness, related to the image contrast; the relative noise variance, related to the signal-to-noise ratio of the image. We use this algorithm to evaluate the quality of stimulated emission depletion (STED) images of DNA replication foci in U937 cells acquired under different imaging conditions. Increasing the STED power improves the resolution but may reduce the image contrast. Increasing the number of line averages improves the signal-to-noise ratio but facilitates the onset of photobleaching and subsequent reduction of the image contrast. Finally, we evaluate the performances of two different separation of photons by lifetime tuning (SPLIT) approaches: the method of tunable STED power and the commercially available Leica Tau-STED. We find that SPLIT provides an efficient way to improve the resolution and contrast in STED microscopy.

biophysics↗

bioRxiv2021

Cooled SPAD array detector for low light-dose fluorescence laser scanning microscopy

The single-photon timing and sensitivity performance and the imaging ability of asynchronous-readout single-photon avalanche diode (SPAD) array detectors have opened up enormous perspectives in fluorescence (lifetime) laser scanning microscopy (FLSM), such as super-resolution image scanning microscopy and high-information content fluorescence fluctuation spectroscopy (FFS). However, the strengths of these FLSM techniques depend on the many different characteristics of the detector, such as dark-noise, photon-detection efficiency, after-pulsing probability, and optical-cross talk, whose overall optimization is typically a trade-off between these characteristics. To mitigate this trade-off, we present a novel SPAD array detector with an active cooling system, which substantially reduces the dark-noise without significantly deteriorating any other detector characteristics. In particular, we show that lowering the temperature of the sensor to -15{degrees}C significantly improves the signal-to-noise ratio due to a 10-fold decrease in the dark-count rate compared to room temperature. As a result, for imaging, the laser power can be decreased by more than a factor of three, which is particularly beneficial for live-cell super-resolution imaging, as demonstrated in fixed and living cells expressing GFP-tagged proteins. For FFS, together with the benefit of the reduced laser power, we show that cooling the detector is necessary to remove artifacts in the correlation function, such as spurious negative correlations observed in the hot elements of the detector, i.e., elements whose dark-noise is substantially higher than the median value. Overall, this detector represents a further step towards the integration of SPAD array detectors in any FLSM system. SIGNIFICANCESingle-photon avalanche diode (SPAD) array detectors are revolutionizing fluorescence laser-scanning microscopy (FLSM). Thanks to their single-photon timing and sensitivity ability and their imaging faculty, a SPAD array detector transforms any FLSM into a super-resolution microscope, and opens a whole range of possibilities for the study of sample dynamics by means of fluorescence fluctuation spectroscopy (FFS). However, dark-noise can be a severe problem for both imaging and FFS. For imaging, the signal overcomes noise only for a relatively high illumination intensity, which can be detrimental for live-cell experiments. For FFS, the noise leads to artifacts in the correlation curves, potentially leading to wrong conclusions about the sample. We show that lowering the temperature of the detector to -15{degrees}C solves both problems

biophysics↗