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Daniel Sage is a Lecturer and Scientific Advisor at École polytechnique fédérale de Lausanne (EPFL) , affiliated with the Biomedical Imaging Laboratory (LIB) under the College of Engineering (STI) and School of Life Sciences (SV) . He specializes in bioimage informatics , structured-illumination microscopy , and deep learning applications for biomedical imaging. His work spans algorithm development for single-molecule localization microscopy (SMLM) , fluorescence imaging , and 3D reconstruction . His research group has developed open-source tools like FlexSIM for light inhomogeneity correction, DeepImageJ for integrating deep learning in ImageJ, and Steer'n'Detect for orientation-accurate template detection. His publications focus on correcting multiple-blinking artifacts in PALM, optimal transport metrics for SMLM evaluation, and contextual feature analysis for xenograft cell classification. He mentors PhD students and contributes to interdisciplinary education through courses such as Bioimage Informatics and Fundamentals of Image Analysis , emphasizing practical software solutions and Java programming for bioimage processing. His collaborations include institutions like Howard Hughes Medical Institute and Centre National de la Recherche Scientifique (CNRS) .

• Biomedical Imaging
• Image Processing
• Deep Learning Applications
• +5 more

Yiming Li is an Associate Professor in the Department of Biomedical Engineering at Southern University of Science and Technology's School of of Engineering. His research focuses on cutting-edge 3D super-resolution imaging techniques and their biological applications, with expertise spanning optical instrumentation, theoretical optics, and advanced imaging algorithms developed during his postdoctoral work at EMBL and Yale University. Education: Ph.D. in Biophysics, Karlsruhe Institute of Technology (2010-2015) M.Sc. in Medical Physics, Heidelberg University (2009-2010) B.Eng. in Biomedical Engineering, Shanghai Jiao Tong University (2005-2009) Research Interests: Dr. Li specializes in developing advanced 3D super-resolution microscopy techniques with particular expertise in single-molecule localization microscopy , point spread function engineering , and real-time 3D imaging systems. His work bridges optical physics and biological applications, enabling nanoscale observation of cellular processes. His software earned first place in the SMLM Challenge 2016, the field's most prestigious software contest. Publication Trends: Dr. Li's research shows a clear progression from fundamental algorithm development to comprehensive imaging system design, with increasing emphasis on real-time 3D applications. His publications in Nature Methods, Nature Communications, and other high-impact journals demonstrate consistent innovation in super-resolution microscopy, particularly in point spread function calibration, aberration correction, and biological applications at the nanoscale level. Scientific Awards: National Overseas High-level Talents (Youth Program) (2020) Shenzhen Overseas High-level Talents Category B EMBL-EIPOD Marie Curie Postdoc Fellowship (2016-2019) Karlsruhe School of Optics and Photonics Fellowship (2010-2013) International Symposium on Biomedical Imaging Travel Grant (2013) Professional Activities: As a PhD supervisor at SUSTech, Dr. Li mentors graduate students in biomedical engineering. He serves as a reviewer for top journals including Nature Methods, Light: Science & Applications, and Optics Letters. His laboratory maintains active international collaborations with EMBL, Yale University, Oxford University, and Cambridge University, facilitating cross-institutional research in advanced imaging techniques. Research Laboratory: Dr. Li leads an active research group focused on next-generation imaging technologies, operating under the website https://li-lab-sustech.github.io/ . His laboratory combines theoretical optics, software development, and biological applications to push the boundaries of what's possible in optical microscopy for cellular and subcellular observation.

• Super-resolution microscopy
• 3D imaging techniques
• Biomedical Engineering
• +3 more

Michaël Unser is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Engineering , leading the Biomedical Imaging Laboratory . He serves as Academic Director for Imaging at EPFL and contributes to cross-departmental teaching in Microengineering , Mathematics , and Life Sciences Engineering . His research spans Image Processing , Medical Imaging , Wavelets , and Spline-based Modeling , with a focus on multiresolution analysis and single-molecule localization microscopy . He has mentored over 30 PhD students and supervised numerous research projects. Recent publications highlight advancements in super-resolution microscopy , deep learning integration , and inverse problem solving for biomedical imaging. His work emphasizes mathematical rigor and open-source software development for accessible bioimaging tools. IEEE Technical Achievement Award (2008) IEEE EMBS Career Achievement Award (2020) Three ERC Advanced Grants (FUNSP, GlobalBioIm, FunLearn) As Academic Director for Imaging , he leads EPFL's cross-disciplinary imaging initiatives. His teaching includes Fundamentals of Image Analysis and Signals and Systems courses.

• Image Processing
• Medical Imaging
• Biological Imaging
• +3 more

Dylan Owen is a Professor of Immunology and Immunotherapy at the Institute for Interdisciplinary Data Science and AI . His research focuses on T-cell biology, membrane organization, and advanced imaging techniques. Research Interests: T-cell receptor signaling, lipid membrane dynamics, single-molecule super-resolution imaging, and topological data analysis of spatiotemporal biological systems. Projects: Leading a BBSRC-funded database for protein nanoscale organization (2023–2026), a UCB Pharma collaboration on receptor clustering (2021–2025), and Wellcome Trust research on gamma delta T-cell paradigms (2021–2026). Methodology: Specializes in single-molecule localization microscopy (SMLM), dSTORM, and quantitative imaging to correlate receptor organization with cellular responses.

• T Cell Biochemistry
• Cell Membrane
• Lipid Biochemistry
• +5 more

David Albrecht is a postdoctoral researcher at the Max Planck Institute for the Science of Light (MPL) in Erlangen, Germany, affiliated with the Department Sandoghdar under the supervision of Dr. Vahid Sandoghdar. His research focuses on viral membranes and host interactions using advanced optical microscopy techniques, including interferometric scattering (iSCAT) and super-resolution microscopy. Education: BSc in Biochemistry, Hanover University MSc in Biochemistry, ETH Zurich PhD in Biochemistry, ETH Zurich (2016), thesis on 'The axon initial segment diffusion barrier at the nanoscopic level' under Dr. Helge Ewers David Albrecht's research interests lie at the intersection of virology, biophysics, and optical imaging. He investigates virus infection mechanisms, particularly how viruses exploit cellular processes and organize their fusion machinery at the nanoscale. His work emphasizes live imaging with molecular specificity and high spatiotemporal resolution. He has made significant contributions to understanding the spatial organization of viral proteins and the development of advanced microscopy methods for label-free and quantitative imaging. The recent trend in his publications (2019–2024) reflects a strong focus on high-resolution optical techniques applied to virology and nanoparticle analysis. His work spans from fundamental virology—such as vaccinia virus entry mechanisms—to methodological innovations in interferometric microscopy and drift correction. These studies demonstrate a consistent interdisciplinary approach combining biological questions with physical and engineering solutions. Scientific Awards: Marie Sklodowska-Curie Fellowship (awarded during postdoctoral work at University College London) David Albrecht has been involved in significant research projects funded by competitive fellowships and institutional support. While no formal advising roles are mentioned, his collaborative publications suggest active participation in team-based research. He has contributed to studies involving virus-host interactions, membrane dynamics, and imaging technology development. His current work at MPL is likely supported by institute funding and collaborative grants. Labs and Research Teams: He has worked in multiple high-profile research environments: the lab of Dr. Helge Ewers (ETH Zurich), the joint group of Dr. Jason Mercer and Dr. Ricardo Henriques (University College London), and currently in the group of Dr. Vahid Sandoghdar at the Max Planck Institute for the Science of Light. These labs specialize in advanced microscopy and biophysical analysis of cellular and viral systems.

• Virology
• Optical Microscopy
• Super-Resolution Microscopy
• +7 more

Dr. Ruby Peters is a Physics of Life Early Career Fellow at the University of Sheffield 's School of Mathematical and Physical Sciences. Her research focuses on the structural, mechanical, and material properties of actin cytoskeletal networks in cellular functions. University: University of Sheffield Research Group: Materials and Biological Physics Group Contact: F23, Hicks Building, Sheffield, S3 7RH Her work employs advanced fluorescence microscopy and computational approaches to quantify actin cytoskeleton organization, combined with atomic force microscopy for biophysical cell surface mapping. Key research themes include: Mechanical regulation of cellular behavior Actin network dynamics in disease Super-resolution microscopy techniques Quantitative analysis of fibrous structures Biomechanics of early embryonic development Machine learning applications in cell imaging Recent publications highlight her expertise in 3D spectral imaging, molecular orientation microscopy, and quantitative SMLM data analysis. She also contributes to STEM equality and diversity initiatives. Her lab collaborates with interdisciplinary teams utilizing tools like: Agent-based modeling of molecular aggregation Cluster analysis of live-cell datasets Biophysical imaging resources (Nano-org)

• Biophysics
• Cellular Mechanics
• Actin Cytoskeleton
• +5 more

Xuelin Lou, PhD, is a Professor in the Department of Cell Biology, Neurobiology and Anatomy at the Medical College of Wisconsin (MCW). He serves as Director of the Advanced Cell Imaging Core, leading cutting-edge imaging infrastructure. His research bridges neuroscience, cell biology, and biophysics, focusing on synaptic communication mechanisms and their dysfunction in neurodegenerative diseases (Alzheimer's/Parkinson's) and metabolic disorders like diabetes. Key research areas include: Presynaptic vesicle trafficking and exocytosis-endocytosis coupling Insulin granule dynamics in pancreatic beta cells Super-resolution microscopy applications (PALM, STORM, STED) Phosphoinositide signaling in membrane trafficking Methodologies employed: Single-molecule localization microscopy Live-cell imaging (TIRF/Confocal) Mouse genetics and disease models Optogenetics Electrophysiology (patch-clamp, capacitance measurements) Recent publications emphasize dynamin protein roles in insulin secretion, synaptic plasticity, and phosphoinositide distribution at the nanoscale. His work highlights interdisciplinary approaches to uncover mechanisms underlying synaptic dysfunction and metabolic diseases. Current initiatives include developing novel imaging tools and recruiting postdoctoral fellows with expertise in live-cell imaging, optogenetics, or molecular biology.

• Membrane Biophysics
• Synaptic Transmission
• Neurodegenerative Diseases (Alzheimer's/Parkinson's)
• +7 more

Pierre Jouchet is a Research Fellow in the Department of Chemistry at Stanford University, affiliated with the School of Humanities and Sciences. He is associated with the CMAD, ChEM-H, and SSRL programs. His work focuses on advancing super-resolution microscopy techniques and understanding actin-driven cellular processes. Research interests include developing novel optical methods for high-resolution imaging of biological systems, with emphasis on single-molecule localization microscopy (SMLM), deep learning applications in microscopy, and the role of nanotopography in cell adhesion. His contributions bridge biophysics, optics, and biomedical engineering. Recent work explores time-modulated excitation, DMD-based microscopy, and PSF engineering to enhance imaging precision. Collaborations span interdisciplinary teams at Stanford and affiliated institutions. No scientific awards are listed, though his publications indicate significant contributions to microscopy innovation. Advising and grants details are not specified in available texts. His research is conducted within the Department of Chemistry labs and affiliated centers.

• Super-Resolution Microscopy
• Cellular Biophysics
• Molecular Biology
• +3 more

Seongjin Park is a Research Assistant Professor in the Department of Physics at Syracuse University. His research focuses on developing microscopy techniques and applying them to study biomolecular interactions in live microbes and real-time neuronal activity in Drosophila larva brains. He specializes in single-molecule localization microscopy (SMLM), single-particle tracking (SPT), two-photon microscopy, and microfluidics. Education: Ph.D. in Physics (University of Illinois at Urbana-Champaign, 2015), B.S. in Physics and Mathematics (Seoul National University, 2006) Research interests include: Imaging live bacterial cells to study RNA dynamics and small regulatory RNAs Tracking molecules in live microbes and probing neuronal circuits in Drosophila Development of advanced microscopy techniques for super-resolution imaging His recent publications highlight advancements in mechanical expansion microscopy and the role of ubiquitin signaling in cellular stress responses. He has presented at conferences such as the American Physical Society New York Section Meeting and the BioInspired Symposium. Awards: Value Award & Spot Bonus (Illumina, Inc., 2022) Teaching and service activities include organizing seminars and manuscript reviews for journals like Journal of Microbiological Methods . Collaborations involve work with Mirna Mihovilovic Skanata on brain activity tracking and Illumina on sequencing technologies.

• Microscopy Techniques
• Biomolecular Interactions
• Neuroscience
• +3 more

Yang Zhang is an Adjunct Professor at Northeastern University's Department of Marine, Earth, and Atmospheric Sciences, part of the College of Sciences. He is affiliated with NC State University (Raleigh, NC) as indicated by his contact address at Jordan Hall. His research focuses on advanced microscopy techniques, fluorescent probe development, and their applications in cellular and biomedical imaging. Key interests include single-molecule localization microscopy (SMLM), spectroscopic imaging, and nanotechnology-driven solutions for biological systems. Research highlights include the design of photoactivatable fluorophores (e.g., BODIPYs), optimization of super-resolution imaging protocols, and the integration of machine learning into microscopy workflows. His work spans disciplines such as biophysics, materials chemistry, and cellular biology, with applications in studying mitochondrial dysfunction, corneal damage, and live-cell dynamics. Recent efforts also emphasize educational initiatives, such as developing STEM curricula that bridge machine learning and chemistry for high-school problem-solving. Publications since 2011 showcase contributions to fluorophore chemistry, imaging instrumentation, and data analysis tools like the RainbowSTORM plugin. While no awards are explicitly listed, his work reflects sustained innovation in imaging technologies. Advising and grant details are not provided here. Yang Zhang’s research lab or team affiliations remain unspecified in the available data.

• Biophysics
• Nanotechnology
• Fluorescence Spectroscopy
• +3 more

Sarah Schweighofer is a Researcher at the Max Perutz Labs within the Department of Structural Biology and Computational Biology . Her work bridges structural and computational approaches to investigate dynamic cellular processes. Research Focus: Mitochondrial fission during apoptosis Key Techniques: SMLM (Single-Molecule Localization Microscopy), MINFLUX super-resolution imaging Collaboration: Co-investigator with Dr. J. Ries on a funded project (2025–2027)

• Structural Biology
• Computational Biology
• Mitochondrial Fission
• +3 more

Prof. Ulrike Endesfelder is a Professor in the Institute for Microbiology and Biotechnology at the University of Bonn. Her research focuses on microbial cell biology, combining quantitative single-molecule microscopy and biophysical methods to study molecular processes in microorganisms. She leads the Endesfelder Research Group , which develops novel microscopy techniques and analyzes cellular dynamics in archaea, bacteria, and eukaryotes. Her work includes projects on kinetochore architecture, type-III secretion systems, CRISPR-Cas dynamics, and bacterial physiology. She has pioneered methods like TARDIS (Temporal Analysis of Relative Distances) and contributed to open-source software like EVE for event-based microscopy analysis. Her team includes doctoral researchers, master’s students, and technical assistants working on cutting-edge imaging technologies. Recent highlights include combining single-molecule and expansion microscopy for nanostructural visualization and developing drift-correction algorithms. She advocates for equitable research funding models and innovative academic structures.

• Cellular Biophysics
• Microbiology
• Single-Molecule Localization Microscopy
• +3 more

François Laurent is a Researcher at the Bioinformatics and Biostatistics Hub of the Pasteur Institute in Paris, France. Their work focuses on computational methods for analyzing biological data, particularly in Drosophila behavior , single-molecule tracking , and Bayesian inference in heterogeneous environments. They lead or co-lead software projects such as TRamWAy , Themis , and Japet , which address biostatistical modeling, decision-making algorithms, and medical applications. Education : Engineering Degree in Biomedical Engineering, Université de Technologie de Compiègne (1989) DEA in Control of Complex Systems, Université de Technologie de Compiègne (1990) PhD in Computational Neuroscience (unspecified year) Their research spans interdisciplinary domains including Bayesian statistics , machine learning , and neuroimaging . Recent projects involve single-molecule localization microscopy (SMLM) analysis, force inference in biological systems, and synaptic receptor dynamics . They contribute to open-source software development and collaborate on methodological innovations for high-throughput biological data . Key software contributions include: TRamWAy : Trajectory analysis for SMLM data SHADE : Experimental design support for biologists Japet : Accelerated neural network training platform François Laurent participates in advising PhD students and is involved in projects like Mapping Receptor Dynamics In Synapses and Dynamique des Décisions de Développement chez la Drosophile . Their work integrates statistical modeling , computational physics , and artificial intelligence to address questions in cellular biophysics and neuroscience . They also contribute to the Hub de Bioinformatique et Biostatistique 's mission of providing computational biology support to research units at the Pasteur Institute.

• Bayesian statistics
• Machine learning
• Neuroimaging
• +5 more

Juliette Griffié is a DDLS Fellow at Stockholm University, affiliated with the Computational Microscopy for Cell Biology (CMCB) laboratory. Her research focuses on developing advanced image analysis strategies and machine learning tools to address fundamental questions in cell biology using light microscopy. Research Interests include: Advanced light microscopy techniques Machine learning applications in image analysis Immunology, particularly autoimmune diseases and immune cell interactions Generative models for dynamic cellular imaging Bayesian statistical methods in microscopy data analysis Her work spans molecular-level studies, computational modeling, and software development for super-resolution and single-molecule localization microscopy (SMLM). Key publications appear in Nature Methods , Cell Reports , and Nature Protocols . Scientific Awards : Wallenberg National Program for Data-Driven Life Science (DDLS) Fellow

• Light Microscopy
• Image Analysis
• Immunology
• +4 more

Toby Bell is a Senior Lecturer in the School of Chemistry at Monash University, where he leads the Bell Fluorescence Lab. His research is centered on advanced fluorescence techniques applied to complex biological systems. He is actively involved in interdisciplinary projects spanning chemistry, biophysics, and cell biology, with a strong emphasis on single-molecule detection and imaging. Education: While formal educational background is not detailed in the provided text, his senior academic position and research leadership suggest a PhD in a relevant field such as physical chemistry, biophysics, or analytical chemistry. His primary research interests include the development and application of single-molecule fluorescence techniques , particularly super-resolution microscopy , and time- and space-resolved fluorescence spectroscopy , including Förster resonance energy transfer (FRET) . These techniques are leveraged to study biological phenomena such as 'off-target' effects of anticancer drugs, viral manipulation of cellular components, epigenetic modifications in the nucleus, and energy transport in synthetic chromophoric systems like polymers and nanoparticles. The recent publications highlight a strong trend toward biophysics and bioimaging , with applications in oncology, virology, and nanomaterials . His work increasingly integrates structural biology, cellular imaging, and photophysical characterization, reflecting a multidisciplinary approach to understanding molecular dynamics in living systems. Scientific Awards: Dean’s Excellence in Teaching Awards, Faculty of Science, Monash University (2017) Advising and Grants: Dr. Bell is accepting PhD students and has served as Chief Investigator or Primary Chief Investigator on multiple competitive research grants, including those funded by the Australian Research Council (ARC) and the National Health and Medical Research Council (NHMRC) . His projects focus on chromatin dynamics, transcription factor behavior in living cells, and the photophysics of novel dye systems. These grants support both fundamental research and advanced instrumentation acquisition. Labs and Teams: He heads the Bell Fluorescence Lab in the School of Chemistry, which specializes in cutting-edge fluorescence methodologies. His research is highly collaborative, involving partnerships with experts in virology, oncology, structural biology, and materials science, both within Monash and internationally.

• Single Molecule Spectroscopy
• Super-Resolution Microscopy
• Time-Resolved Fluorescence
• +10 more