Biology subjects

Xi, P.

Publications and source records attributed to Xi, P..

At least 19 recordsLinked to original sources

bioRxiv2026

Data-adaptive three-dimensional deconvolution and evaluation for volumetric fluorescence microscopy

Optical fluorescence microscopy enables visualization of biological structures and dynamics. However, the intrinsic diffraction limit, especially axially, and depth-related scattering noise compromise the image resolution and fidelity. Computational 3D deconvolution is a promising approach for mitigating these issues, yet its execution is hindered by inaccurate and cumbersome theoretical modeling or experimental measurement of 3D point spread function (PSF), as well as ineffective 3D noise regularization. Furthermore, in the 3D super-resolution regime, there remains a lack of standardized tools for evaluating 3D super-resolution fidelity. Here, we present the 3D adaptive deconvolution and evaluation (3D-ADE) toolkit, which comprises 3D-Ada deconvolution with physics-oriented automatic 3D-PSF calibration, and 3D-SQUIRREL for 3D super-resolution quality assessment. It effectively resolves noise instability, eliminates the need for 3D-PSF calibration, and reliably assesses the fidelity of 3D resolution extension via deconvolution, physical, and deep-learning-based methods. Accessible via multiple software platforms, 3D-ADE enhances the versatility of 3D deconvolution and fills the gap in 3D super-resolution evaluation tools, and thereby advances volumetric fluorescence imaging applications.

bioengineering↗

bioRxiv2026

Physics-driven self-supervised learning for quantitative high-fidelity structured illumination microscopy

Structured illumination microscopy (SIM) enables rapid, long-term super-resolution (SR) imaging of live-cell dynamics. However, although current state-of-the-art (SOTA) SIM reconstruction methods achieve high-fidelity structural SR, they consistently lack reliable intensity quantification, restricting their use in quantitative biology. Here, we develop qHiFi-SIM, a physics-driven self-supervised learning framework for quantitative high-fidelity SR-SIM imaging. By leveraging the wide-field image as a physical intensity reference, our approach enables self-supervised training without reliance on SR data with ground-truth intensity. qHiFi-SIM achieves high structural fidelity (structural similarity, SSIM > 0.95) with a twofold resolution enhancement, while maintaining excellent intensity linearity (coefficient of determination, R{superscript 2} > 0.99). It also exhibits strong transferability across diverse SIM setups and typical samples, and is compatible with SOTA SIM algorithms, enabling direct quantitative correction of their intensity deviations without retraining. We demonstrate the unique advantages of qHiFi-SIM for live-cell quantitative visualization of mitochondrial structure, intensity, and membrane potential dynamics, as well as for high-fidelity SIM-FRET (Forster resonance energy transfer) functional imaging. We anticipate that qHiFi-SIM will serve as a practical tool for SR structural visualization and quantitative functional imaging in live cells.

Cell Biology↗

bioRxiv2026

Physics-Driven Zero-Shot Reconstruction of Isotropic 3D Fluorescence Microscopy under Undersampled Acquisition

Three-dimensional (3D) imaging represents the development of next generation of fluorescence microscopy. However, routine axial down-sampling makes isotropic resolution unrealistic. Here, we propose DeepUI, a physical zero-shot framework designed to achieve isotropic 3D fluorescence images from a low axial sampling rate. DeepUI fully leverages the intrinsic characteristics of 3D images through physics-guided degradation, which incorporates spatial-frequency joint learning to generate a scaled optical transfer function, combined with noise degradation and an up-sampling branch. Typically requiring just 5 minutes for training and 0.5 minutes for high-throughput and fast prediction, we demonstrate the superior performance of DeepUI to get isotropic results, and the exclusivity to axial down-sampling conditions, even in more challenging conditions, including defocused background, noise, and resolution blur.

bioinformatics↗

bioRxiv2026

Fluorescence anisotropy structured illumination microscopy for quantitative super-resolved mapping of cell microenvironment and cytoskeletal dynamics

The crowded intracellular milieu shapes organelle architecture and dynamics, yet nanoscale heterogeneity in its physicochemical properties remains difficult to visualize with conventional fluorescence anisotropy (FA) imaging. Here, we develop fluorescence anisotropy structured illumination microscopy (FA-SIM), which employs orthogonal-polarization structured illumination with dual-angle detection to achieve [~]100-nm resolution and quantitative FA retrieval with 0.56% relative error, representing over 20-fold higher accuracy than conventional FA imaging. With low phototoxicity, FA-SIM enables dual-color, hour-long quantitative super-resolution imaging in cells. Using viscosity standards, defined nanoparticles and small-molecule drug binding assays, we validate FA-SIM as a quantitative reporter of rotational mobility and molecular interactions. In cells, FA-SIM resolves nanoscale crowding heterogeneity, correlates anisotropy landscapes with condensate dynamics, and uncovers a radial crowding gradient across the microtubule network and mitotic spindle. Long-term dual-color imaging further resolves coordinated actin-microtubule remodeling and associated microenvironmental changes. By enabling quantitative, super-resolved mapping of intracellular physical properties in living systems, FA-SIM provides a powerful platform for investigating the physical regulation of cellular organization and dynamics in health and disease.

cell biology↗

bioRxiv2025

Structural Role of Stomatin in Organizing Functional Membrane Microdomains

Stomatin, originally discovered in red blood cells, is a member of the SPFH (Stomatin, Prohibitin, Flotillin, and HflK/C) protein family, which has long been proposed to scaffold functional membrane microdomains (FMMs) enriched in saturated lipids such as cholesterol and sphingomyelin. Stomatin has been reported to associate with a variety of proteins involved in diverse physiological processes, including ion channel regulation, membrane fusion, mechanosensory regulation and vesicle trafficking; however, the mechanisms by which it modulates these interactions remain poorly understood. Here, we determined the cryo-electron microscopy (cryo-EM) structures of stomatin, revealing its hexadecameric assemblies. The SPFH1 domains insert into the cytosolic leaflet of membranes and, together with the N-terminal hairpin, form a potential cholesterol-binding pocket. Liposome reconstitution experiments demonstrated that stomatin self-organizes into clusters, and Spectrum and Polarization Optical Tomography (SPOT) further showed that these clusters enhance membrane lipid order, supporting the proposed role of stomatin in organizing functional membrane microdomains (FMMs). Proteomic mass spectrometry analysis identified numerous stomatin-associated cargo proteins, including solute carrier (SLC) transporters, RAB GTPases, and integrins, suggesting that stomatin regulates solute transport and contributes to vesicle trafficking and cell migration. Together, these findings elucidate the structural and functional roles of stomatin and underscore its potential as a therapeutic target for modulating cancer cell migration and metastasis.

biophysics↗

bioRxiv2025

Previous malaria exposure attenuates monocyte-driven inflammation and shapes B cell immunity

Clinical immunity to malaria develops after repeated malaria episodes. In this process, the inflammatory response is modulated to respond less vigorously upon reinfection. Monocytes are a major source of pro-inflammatory mediators during blood-stage infection and are known to adapt to repeated pathogen exposure. Here, we investigated the impact of previous malaria exposure on monocytes during blood-stage malaria by comparing the response in previously exposed and primary infected individuals. We observed reduced levels of the proinflammatory chemokine CXCL10 in previously exposed individuals, linked to changes in CD16+ monocytes. Similarly, BAFF levels were lower in these individuals and associated with modulation of monocyte and dendritic cells. This affected the BAFF-BAFF-R axis, crucial for B cell responses, correlating with increasing parasite-specific antibody levels. Collectively, we present novel insights into how previous malaria exposure shapes monocyte responses during acute malaria and how these in turn correlate with modulation of the B cell compartment and humoral immune response.

immunology↗

bioRxiv2025

Salient objects in a scene trigger enhanced perceptual selection and memory encoding

Rapidly detecting salient objects from surrounding environments is crucial for survival. Our study demonstrates that salient objects in visual search arrays trigger von Restorff-like effects. In a search task, participants detected a tilted target bar among distractors with EEG recordings. The results revealed that salient objects elicited the largest and earliest N2pc component, reflecting early attentional selection, which enhanced multivariate decoding of target location. Importantly, early selection of highly salient targets (25{degrees} tilt) triggered a cascade of preferential processing downstream, marked by stronger P3b components, neural synchronization, and phase-amplitude coupling between low- and high-frequency activity, along with better recall performance of target orientation. The strength of memory-related activity on the current trial predicted the vigor of the next selection event, indicating that salience-driven learning influences future attentional control. Overall, object salience in spatial arrays drives a cascade of processing, facilitating rapid learning of object relevance while humans search their environment, similar to the classic demonstrations of the von Restorff effect, except the objects are distributed in space rather than time.

neuroscience↗

bioRxiv2024

A gentle palette of plasma membrane dyes

Plasma membrane stains are one of the most important organelle markers for unambiguous assignments of individual cells and monitoring membrane morphology and dynamics. The state-of-the-art PM stains are bright, specific, fluorogenic, and compatible with super-resolution imaging. However, when recording membrane dynamics, particularly under light-intensive microscopes, PM is prone to photodynamic damages due to its phospholipid bilayer nature. Here we developed PK Mem dyes tailored for time-lapse fluorescence imaging. By integrating triplet-state quenchers into the MemBright dyes featuring cyanine chromophores and amphiphilic zwitterion anchors, PK Mem dyes exhibited a three-fold reduction in phototoxicity and a more than four-fold improvement in photostability in imaging experiments. These dyes enable 2D and 3D imaging of live or fixed cancer cell lines and a wide range of primary cells, at the same time pair well with various fluorescent markers. PK Mem dyes can be applied to neuronal imaging in brain slices and in vivo two-photon imaging. The gentle nature of PK Mem palette enables ultralong-term recording of cell migration and cardiomyocyte beating. Notably, PK Mem dyes are optically compatible with STED/SIM imaging, which can handily upgrade the routine of time-lapse neuronal imaging, such as growth cone tracking and mitochondrial transportations, into nanoscopic resolutions.

neuroscience↗

bioRxiv2024

IMMUNOPHENOTYPING AND FUNCTIONAL ANALYSIS OF NK CELL SUBSETS IN Mycobacterium tuberculosis-INFECTED INDIVIDUALS

Infection with Mycobacterium tuberculosis remains a global health challenge, with diverse clinical outcomes ranging from latent TB (LTB) infection to active TB disease (ATB). We conducted a comprehensive analysis of NK cell subsets and function in individuals with LTB, ATB, and healthy controls to elucidate their potential association with TB pathogenesis. Peripheral blood mononuclear cells (PBMCs) were isolated from Mtb-infected individuals and analyzed by mass cytometry and flow cytometry. We identified distinct NK cell subsets and evaluated their functional responses to stimulation. Our findings revealed comparable frequencies of total and NK cell subsets across LTB, ATB, and controls. Functional assays demonstrated similar degranulation, cytokine production, and proliferation capabilities among NK cell subsets across the three groups. This study provides insights into the heterogeneity of NK cell responses in TB and highlights the need for standardized methodologies with well-characterized cohorts controlling for donor background. Further investigations are warranted to delineate the specific roles of NK cells in TB immunity and pathogenesis.

immunology↗

bioRxiv2024

Dark-based Optical Sectioning assists Background Removal in Fluorescence Microscopy

A fundamental challenge in fluorescence microscopy is the defocused background caused by scattering light, optical aberration, or limited axial resolution. Severe defocus backgrounds will submerge the in-focus information and cause artifacts in the following processing. Here, we leverage a priori knowledge about dark channels of biological structures and dual frequency separation to develop a single-frame defocus removal algorithm. It stably improves the signal-to-background ratio and structural similarity index measure of images by approximately 10-fold, and recovers in-focus signal with 85% accuracy, even when the defocus background is 50 times larger than in-focus information. Our Dark-based optical sectioning approach (Dark sectioning) is fully compatible with various microscopy techniques, such as wide-filed microscopy, polarized microscopy, laser-scanning / spinning-disk confocal microscopy, stimulated emission depletion microscopy, lightsheet microscopy, and light-field microscopy. It also complements reconstruction or processing algorithms such as deconvolution, structure illumination microscopy, and super-resolution optical fluctuation imaging.

bioinformatics↗

bioRxiv2023

A barley MLA receptor is targeted by a non-ribosomal peptide effector of the necrotrophic spot blotch fungus for disease susceptibility

The evolutionary history of plant interactions with necrotrophic pathogens that feed on dying host cells and their virulence mechanisms remains fragmentary. We have isolated the barley gene Scs6, which is required for the necrotrophic fungus Bipolaris sorokiniana isolate ND90Pr to cause spot blotch disease. Scs6 is located at the disease resistance gene locus Mildew locus a (Mla) and encodes an intracellular nucleotide-binding leucine-rich repeat receptor (NLR). In transgenic barley, Scs6 is sufficient to confer susceptibility to ND90Pr in accessions naturally lacking the receptor, resulting in infection-associated host cell death. Expression of Scs6 in evolutionarily distant Nicotiana benthamiana reconstitutes a cell death response to an uncharacterized non-ribosomal peptide effector produced by ND90Pr-specific non-ribosomal peptide synthetases (NRPSs) encoded at the VHv1 virulence locus. Our data suggest that the heat-resistant effector directly activates the SCS6 receptor. Scs6 is an allelic variant of functionally diversified Mla resistance genes each conferring strain-specific immunity to barley powdery mildew isolates with a matching proteinaceous pathogen effector. Domain swaps between MLA and SCS6 NLRs and expression of the resulting hybrid proteins in N. benthamiana reveal that the SCS6 leucine-rich repeat domain is a specificity determinant for the NRPS-derived effector to activate the receptor. Scs6 evolved after the divergence of barley from wheat and is maintained in several wild barley populations with an incidence of 8%, suggesting a beneficial function for the host. Evolution of the bona fide immune receptor SCS6 targeted by the NRPS-derived effector was key for the emergence of strain-specific spot blotch disease in domesticated barley.

plant biology↗

bioRxiv2023

Three-dimensional dipole orientation mapping with high temporal-spatial resolution using polarization modulation

Fluorescence polarization microscopy is widely used in biology for molecular orientation properties. However, due to the limited temporal resolution of single-molecule orientation localization microscopy and the limited orientation dimension of polarization modulation techniques, achieving simultaneous high temporal-spatial resolution mapping of the three-dimensional (3D) orientation of fluorescent dipoles remains an outstanding problem. Here, we present a super-resolution 3D orientation mapping (3DOM) microscope that resolves 3D orientation by extracting phase information of the six polarization modulation components in reciprocal space. 3DOM achieves an azimuthal precision of 2{degrees} and a polar precision of 3{degrees} with spatial resolution of 128 nm in the experiments. We validate that 3DOM not only reveals the heterogeneity of the milk fat globule membrane, but also elucidates the 3D structure of biological filaments, including the 3D spatial conformation of {lambda}-DNA and the structural disorder of actin filaments. Furthermore, 3DOM images the dipole dynamics of microtubules labeled with green fluorescent protein in live U2OS cells, reporting dynamic 3D orientation variations. Given its easy integration into existing wide-field microscopes, we expect the 3DOM microscope to provide a multi-view versatile strategy for investigating molecular structure and dynamics in biological macromolecules across multiple spatial and temporal scales.

molecular biology↗

bioRxiv2023

High-speed Auto-Polarization Synchronization Modulation Three-dimensional Structured Illumination Microscopy

In recent years, notable progress has been achieved in both the hardware and algorithms of structured illumination microscopy (SIM). Nevertheless, the advancement of 3DSIM has been impeded by challenges arising from the speed and intricacy of polarization modulation. In this study, we introduce a high-speed modulation 3DSIM system, leveraging the polarization maintaining and modulation capabilities of a digital micro-mirror device (DMD) in conjunction with an electro-optic modulator. The DMD-3DSIM system yields a 2-fold enhancement in both lateral (133 nm) and axial (300 nm) resolution compared to wide-field imaging, and can acquire a data set comprising 29 sections of 1024x1024 pixels, with 15 ms exposure time and 6.75 s per volume. The versatility of the DMD-3DSIM approach was exemplified through the imaging of various specimens, including fluorescent beads, nuclear pores, microtubules, actin filaments, and mitochondria within cells, as well as plant and animal tissues. Notably, polarized 3DSIM elucidated the orientation of actin filaments. Furthermore, the implementation of diverse deconvolution algorithms further enhances three-dimensional resolution. The DMD-based 3DSIM system presents a rapid and reliable methodology for investigating biomedical phenomena, boasting capabilities encompassing 3D superresolution, fast temporal resolution, and polarization imaging.

cell biology↗

bioRxiv2023

Noise-robust, physical microscopic deconvolution algorithm enabled by multi-resolution analysis regularization

Despite the grand advances in fluorescence microscopy, the photon budget of fluorescent molecules remains the fundamental limiting factor for major imaging parameters, such as temporal resolution, duration, contrast, and even spatial resolution. Computational methods can strategically utilize the fluorescence photons against the imaging noise, to break the abovementioned limits. Here, we propose a multi-resolution analysis (MRA) approach to recharacterize and extract the two main characteristics of fluorescence images: (1) high contrast across the edge, and (2) high continuity along the edge. By regularizing the solution using framelet and curvelet domain sparsity, we develop MRA deconvolution algorithm for fluorescence image, which allows fine detail recovery even with negative signal-to-noise-ratio (SNR), and can provide more than 2-fold physical resolution enhancement with conspicuously fewer artifacts than maximum likelihood estimation (MLE) methods. Furthermore, we develop DeepMRA deconvolution algorithm that can provide computational background inhibition through a bias thresholding mechanism while deconvolving a fluorescence image. Compared with conventional background mitigation schemes, this novel deconvolution canonical form can deal with severer background and better preserve the high-frequency and low-intensity details, which are commonly disrupted by other algorithms. We demonstrate that the MRA and DeepMRA deconvolution algorithms can improve the SNR and resolution of biological images in various microscopies, such as wide-field, confocal, spinning-disk confocal (SD-confocal), light-sheet, structured illumination microscopy (SIM), and stimulated excitation depletion (STED) microscopy.

bioengineering↗

bioRxiv2022

Visualization of mitochondrial cristae and mtDNA evolvement and interactions with super-resolution microscopy

Mitochondrial cristae host the respiratory chain complexes composed of mitochondrial DNA (mtDNA)-encoded and nuclear-encoded proteins and are responsible for ATP production. Movement of mtDNA located in the matrix is limited due to blockade by the cristae; yet, the dynamic interaction between the inner membrane and mtDNA remains unknown due to the insufficient spatiotemporal resolution of conventional microscopy and the lack of appropriate in vivo probes targeted to the mitochondrial inner membrane. Here, we developed a novel fluorescence probe to visualize the inner membrane using low-power stimulated emission depletion (STED) microscopy. Dual-color imaging of the inner membrane and mtDNA demonstrated that mtDNA is more likely to spread at mitochondrial tips or branch points under an overall even distribution. Interestingly, exploration of forming this distribution propensity uncovered that the mitochondrial dynamics are closely related to the location of mtDNA, and further insight found that fusion always occurs near mtDNA in order to minimize the pressure for cristae remodeling. In healthy cells, mitochondrial dynamics based on cristae remodeling promotes the even distribution of mtDNA, on the contrary, when cristae structure fails in apoptosis and ferroptosis, leading to mtDNA distribution disorder. Observation of active changes during apoptosis further captured the dynamic process of inner membrane herniation and mtDNA leakage along with cristae remodeling. Under ferroptosis, the mitochondria shrank into ellipsoids and mtDNA converged at the center of mitochondria. The rich dynamics between the cristae and mtDNA, revealed at unprecedented spatiotemporal resolution, show the motive and outgrowth of mtDNA distribution.

biophysics↗

bioRxiv2022

Open-3DSIM: an Open-source three-dimensional structured illumination microscopy reconstruction platform

With optical section and defocus removal effect, three-dimensional structured illumination microscopy (3DSIM) can get a whole sight of intracellular organelle. Here, Open-3DSIM is reported as an open-source reconstruction platform with double improvement on lateral and axial resolution. MATLAB code, ImageJ version and Exe application are provided for biologists and engineers to maximize its user-friendliness and prompt its further development. Through adaptive parameter estimation and spectrum filter optimization, we demonstrate its superior performance of artifact suppression and defocus elimination over other algorithms on various specimens, under gradient signal-to-noise levels. Moreover, with the capacity to extract the dipole orientation, Open-3DSIM paves a new avenue for interpreting the subcellular structures in six dimensions (xyz{theta}{lambda}t).

bioengineering↗

bioRxiv2022

Field dependent deep learning enables high-throughput whole-cell 3D super-resolution imaging

Single-molecule localization microscopy (SMLM) in a typical wide-field setup has been widely used for investigating sub-cellular structures with super resolution. However, field-dependent aberrations restrict the field of view (FOV) to only few tens of micrometers. Here, we present a deep learning method for precise localization of spatially variant point emitters (FD-DeepLoc) over a large FOV covering the full chip of a modern sCMOS camera. Using a graphic processing unit (GPU) based vectorial PSF fitter, we can fast and accurately model the spatially variant point spread function (PSF) of a high numerical aperture (NA) objective in the entire FOV. Combined with deformable mirror based optimal PSF engineering, we demonstrate high-accuracy 3D SMLM over a volume of ~180 x 180 x 5 m3, allowing us to image mitochondria and nuclear pore complex in the entire cells in a single imaging cycle without hardware scanning - a 100-fold increase in throughput compared to the state-of-the-art.

biophysics↗

bioRxiv2022

A Peronophythora litchii RXLR effector PlAvh202 enhances plant susceptibility by destabilizing host SAMS

Oomycete pathogens can secret hundreds of effectors into plant cells to interfere with plant immune system during infection. Here we identified a cytoplasmic RXLR effector from the most destructive pathogen of litchi, Peronophythora litchii, and named it as PlAvh202. PlAvh202 could suppress cell death triggered by INF1 and Avr3a/R3a in Nicotiana benthamiana, and was essential for P. litchii virulence. In addition, PlAvh202 also suppressed plant immune responses and promoted the susceptibility of N. benthamiana to Phytophthora capsici. Further research revealed that PlAvh202 could suppress ethylene (ET) production by targeting and destabilizing plant S-adenosyl-L-methionine synthetase (SAMS), a key enzyme in ET biosynthesis pathway, in a 26S proteasome-dependent manner. Transient expression of LcSAMS3 induced ET production and enhanced plant resistance, whereas inhibition of ET biosynthesis promoted P. litchii infection, supporting that LcSAMS and ET positively regulate litchi immunity towards P. litchii. Overall, these findings highlight that SAMS can be targeted by oomycete RXLR effector to manipulate ET-mediated plant immunity.

plant biology↗