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Long-term live-cell super-res microscopy! ๐Ÿ‘‰๐Ÿปour new preprint ( reports >6h STED imaging of ER dynamics in live cells with seconds time resolution. It combines low-light imaging and NN-assisted denoising๐Ÿ”ฌ

18,635 ๆฌก่ง‚็œ‹ โ€ข 2 ๅนดๅ‰ โ€ขvia X (Twitter)

10 ๆก่ฏ„่ฎบ

HeilemannLab (๐Ÿ‘‰๐Ÿป heilemannlab.bsky.social) ็š„ๅคดๅƒ
HeilemannLab (๐Ÿ‘‰๐Ÿป heilemannlab.bsky.social)2 ๅนดๅ‰

This approach enables ultra-fast scanning, minimizing photobleaching and phototoxicity. With that, we were able to record 3D-STED videos of ER structural rearrangements๐Ÿ‘‡๐Ÿป

HeilemannLab (๐Ÿ‘‰๐Ÿป heilemannlab.bsky.social) ็š„ๅคดๅƒ
HeilemannLab (๐Ÿ‘‰๐Ÿป heilemannlab.bsky.social)2 ๅนดๅ‰

We used the RCAN-UNet introduced by our colleagues ( and tailored it for long-term live-cell imaging of low-light STED data.

HeilemannLab (๐Ÿ‘‰๐Ÿป heilemannlab.bsky.social) ็š„ๅคดๅƒ
HeilemannLab (๐Ÿ‘‰๐Ÿป heilemannlab.bsky.social)2 ๅนดๅ‰

We thank @dfg_public for funding this research in the frame of the @sfb1177 @goetheuni

Andy Moore ็š„ๅคดๅƒ
Andy Moore2 ๅนดๅ‰

This looks so good.

HeilemannLab (๐Ÿ‘‰๐Ÿป heilemannlab.bsky.social) ็š„ๅคดๅƒ
HeilemannLab (๐Ÿ‘‰๐Ÿป heilemannlab.bsky.social)2 ๅนดๅ‰

Thank you, Andy ๐Ÿ™

Luc ReymโŒฌnd ็š„ๅคดๅƒ
Luc ReymโŒฌnd2 ๅนดๅ‰

Congrats! Looks terrific. SiR-chloroalkane performs superbly.

Till Stephan ็š„ๅคดๅƒ
Till Stephan2 ๅนดๅ‰

Congrats! The future of superres is live!

HeilemannLab (๐Ÿ‘‰๐Ÿป heilemannlab.bsky.social) ็š„ๅคดๅƒ
HeilemannLab (๐Ÿ‘‰๐Ÿป heilemannlab.bsky.social)2 ๅนดๅ‰

Absolutely!

Jon Lane ็š„ๅคดๅƒ
Jon Lane2 ๅนดๅ‰

This is lovely. Puts into context all those years I spent recording ER dynamics in frog egg extracts by VE-DIC with an S-VHS......

Bond079, PhD ็š„ๅคดๅƒ
Bond079, PhD2 ๅนดๅ‰

The way ER dynamics happen is totally mesmerizing ๐Ÿ˜Š

็›ธๅ…ณ่ง†้ข‘

๐Ÿš€ We are hiring! ๐—ฃ๐—ต๐—— ๐—ฆ๐˜๐˜‚๐—ฑ๐—ฒ๐—ป๐˜ ๐—ถ๐—ป ๐—–๐—”๐—ฅ-๐—ง ๐—–๐—ฒ๐—น๐—น๐˜‚๐—น๐—ฎ๐—ฟ ๐—ง๐—ต๐—ฒ๐—ฟ๐—ฎ๐—ฝ๐˜† ๐—ฎ๐—ป๐—ฑ ๐—–๐—ฎ๐—ป๐—ฐ๐—ฒ๐—ฟ ๐—ก๐—ฒ๐˜‚๐—ฟ๐—ผ๐—ถ๐—บ๐—บ๐˜‚๐—ป๐—ผ๐—น๐—ผ๐—ด๐˜† We are looking for a passionate and motivated PhD student to join an exciting project focused on how nerve, immune and cancer cell interactions shape metastatic tumor behavior and resistance to cellular therapies, especially CAR-T cells. The project combines: โ€ข Whole-body tissue clearing โ€ข Light-sheet microscopy โ€ข wildDISCO-based immunolabeling โ€ข CAR-T and immune cell tracking in metastatic cancer โ€ข Spatial proteomics and 3D spatial biology โ€ข AI-based analysis of large-scale imaging datasets This is a great opportunity for someone with a background in cancer biology, immunology, neuroscience, biomedical sciences, biomedical engineering or a related field who wants to work at the interface of experimental biology, advanced imaging and AI. Apply here: Please share with excellent candidates who may be interested. #Hiring #PhDPosition #CARTcells #CellularTherapy #CancerResearch #Neuroimmunology #Immunotherapy #Metastasis #SpatialBiology #AIinBiology #Microscopy #LMUMunich #HelmholtzMunich #ErturkLab

Ali Max Erturk

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PHOTON COUNTING CT is NOT a better CT It is a NEW imaging modality Photon Counting CT (PCCT) represents a transformative leap in medical imaging, not only as a molecular imaging modality but also as a technology offering ultra-high resolution and functional imaging capabilities. It is fundamentally more than just an enhanced version of traditional CTโ€”PCCT introduces new ways of seeing and understanding the human body, providing critical insights at the molecular, structural, and functional levels. This positions PCCT as a unique imaging modality that requires a fresh approach to technical implementation, operational workflows, and financial planning. Despite the larger upfront investment, PCCTโ€™s ability to drastically reduce downstream healthcare costs makes it a highly valuable investment in the long run. 1. Technical Innovations โ€ข Molecular Imaging and Energy Discrimination: Unlike traditional CT, which simply measures the total absorbed energy, PCCT counts individual X-ray photons and differentiates their energy levels. This allows for precise molecular imaging, revealing the composition of tissues and materials at a biochemical level. By distinguishing between different tissue types and contrast agents, PCCT opens up new diagnostic possibilities, such as identifying molecular biomarkers in tumors or distinguishing between stable and unstable plaque in coronary arteries. This capability shifts the focus of imaging from purely anatomical to both anatomical and molecular, offering more comprehensive diagnostic information. โ€ข Ultra-High Spatial Resolution: PCCT features significantly smaller detector elements compared to conventional CT scanners, allowing for ultra-high resolution imaging. This means clinicians can visualize fine structures such as microcalcifications in arteries, small lesions in soft tissues, or the intricate architecture of bones. This level of detail was previously unattainable with traditional CT. When combined with molecular imaging, this ultra-high resolution allows for the precise localization and characterization of disease at very early stages, which is essential for early diagnosis and intervention. โ€ข Functional Imaging Capabilities: PCCT also excels as a functional imaging modality. By capturing energy-resolved information, PCCT can provide insights into tissue functionality and dynamic physiological processes. For instance, it can detect changes in blood flow, tissue perfusion, and oxygenation without the need for additional contrast agents or scans. This functionality allows for real-time assessment of physiological processes, making it particularly valuable in cardiology, oncology, and neurology for evaluating organ function and monitoring disease progression. โ€ข Reduced Noise and Artifact Reduction: Photon-counting technology dramatically reduces electronic noise and imaging artifacts, such as beam hardening, resulting in clearer and more accurate images. The ability to deliver ultra-high resolution images with minimal artifacts improves diagnostic accuracy, reducing the need for repeat scans and ensuring that even subtle abnormalities are detected. 2. Operational Considerations โ€ข New Workflow for Molecular, High-Resolution, and Functional Imaging: The integration of molecular, ultra-high resolution, and functional imaging into routine clinical workflows introduces complexity that requires adaptation. Radiologists and technicians need specialized training to interpret and analyze multi-energy datasets that include molecular and functional information. PCCT produces a vast amount of detailed data, requiring clinicians to adopt new imaging protocols and refine their diagnostic approaches to fully leverage its capabilities. โ€ข Post-Processing and Data Management: PCCT generates richer, more complex datasets, which necessitates advanced post-processing tools and data management systems. Existing PACS and imaging software may not be equipped to handle such large volumes of data or to process functional and molecular information effectively. This means healthcare institutions must invest in robust IT infrastructure, including upgraded software and storage solutions, as well as provide additional training for staff on new imaging analysis techniques. โ€ข Revised Clinical Protocols: The molecular, functional, and ultra-high resolution imaging capabilities of PCCT will likely prompt changes in clinical protocols. For instance, the need for contrast agents may be reduced, simplifying patient preparation and decreasing the risk of adverse reactions. Additionally, the ability to monitor physiological functions in real-time through functional imaging could lead to more dynamic diagnostic procedures, such as assessing the effectiveness of interventions or treatments in real-time. 3. Financial Impact โ€ข Higher Initial Investment: PCCT systems are more expensive than traditional CT scanners due to their advanced technology, which includes photon-counting detectors and the computational power required for high-resolution, molecular, and functional imaging. While this upfront cost is significant, it is crucial to view it in the broader context of the downstream benefits and cost reductions that PCCT offers. โ€ข Downstream Cost Reductions: Although the initial capital investment is higher, PCCTโ€™s ability to combine molecular, functional, and ultra-high resolution imaging leads to substantial reductions in downstream healthcare costs. Its superior diagnostic accuracy minimizes the need for follow-up tests, repeat scans, or invasive diagnostic procedures, such as diagnostic coronary angiographies. For example, in cardiology, PCCT can precisely differentiate between types of coronary plaque, reducing the need for invasive procedures to assess risk. โ€ข Lower Overall Healthcare Expenditures: By enabling earlier, more accurate diagnoses, PCCT can reduce the overall cost of patient care. Early detection of disease, particularly through its molecular and functional imaging capabilities, allows for more targeted treatments, potentially preventing the need for more aggressive and expensive interventions down the line. For instance, early-stage tumor detection via molecular imaging could lead to less invasive treatments, reducing hospital stays and improving patient outcomes, ultimately driving down healthcare costs. โ€ข Increased ROI Through Enhanced Patient Outcomes: Over time, the combination of molecular, functional, and ultra-high resolution imaging enhances diagnostic precision, which translates into better patient outcomes. Improved diagnostic accuracy reduces the incidence of unnecessary procedures, minimizes treatment delays, and results in more personalized and effective care. This leads to increased patient satisfaction, better healthcare outcomes, and greater patient throughputโ€”all factors that improve the institutionโ€™s return on investment (ROI). โ€ข Competitive Advantage and New Revenue Streams: By adopting PCCT, healthcare institutions position themselves at the forefront of advanced imaging technologies. The ability to offer molecular, functional, and ultra-high resolution imaging creates a competitive advantage, attracting more complex and high-value cases. This can boost the institutionโ€™s reputation for excellence in diagnostics, leading to increased referrals, new patient populations, and expanded revenue opportunities. Summary Photon Counting CT (PCCT) is not just an evolution of existing CT technologyโ€”it is a molecular, ultra-high resolution, and functional imaging modality that fundamentally transforms the diagnostic landscape. Its ability to capture detailed molecular data, visualize minute anatomical structures with ultra-high resolution, and provide real-time functional imaging opens new possibilities for earlier and more precise diagnoses. While the financial investment in PCCT is larger, the reduction in downstream healthcare costs through improved diagnostic accuracy, fewer unnecessary interventions, and earlier disease detection far outweighs the initial expense. For institutions committed to advancing patient care and improving long-term financial outcomes, PCCT is an essential investment in the future of medical imaging. The video attached shows a patient accessing the Hospital for ACS. PCCT can provide ALL the imaging information of the concurrent imaging modalities (CXR, CAG, Echo, CMR) that you see around it... that's a lot! #PhotonCountingCT #MolecularImaging #UltraHighResolution #FunctionalImaging #FutureOfImaging #AdvancedMedicalImaging #EarlyDiseaseDetection #InnovativeCT #CuttingEdgeHealthcare #PrecisionDiagnostics #HealthcareInnovation #MedicalTechnology #CostEffectiveImaging #NextGenCT #PatientCareRevolution

Dr. Filippo Cademartiri

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How does an embryo reliably "compute" its form - "cell by cell" - using only local interactions and mechanics, yet produce a precise global body plan? Iโ€™m excited to share our Nature Methods paper "MultiCell: geometric learning in multicellular development", presenting #AIxBiology research led by Haiqian Yang and the result of a great collaboration with Ming Guo, George Roy, Tomer Stern, Anh Nguyen and Dapeng Bi. A long-standing challenge in developmental biology is to predict how thousands of cells collectively self-organize as tissues fold, divide, and rearrange. In MultiCell, we represent a developing embryo as a dual graph that unifies two complementary views of tissue mechanics with single-cell resolution: cells as moving points (granular) and cells as a connected foam (junction network). This lets the model learn dynamics from both geometry and cellโ€“cell connectivity. On whole-embryo 4D light-sheet movies of Drosophila gastrulation (~5,000 cells), our model predicts key cell behaviors and the timing of events, including junction loss, rearrangements, and divisions with high accuracy, at single-cell resolution. Beyond prediction, the same representation supports robust time alignment across embryos and offers interpretable activation maps that highlight the morphogenetic "drivers" of development. The broader goal is a foundation for cell-by-cell forecasting in more complex tissues, and eventually for detecting subtle dynamical signatures of disease. Kudos to the team for this inspiring collaboration with brilliant researchers to push the boundary of AI for biology! Citation: Yang, H., Roy, G., Nguyen, A.Q., Buehler, M.J., et al. MultiCell: geometric learning in multicellular development. Nature Methods (2025), DOI: 10.1038/s41592-025-02983-x Code/data links are in the manuscript.

Markus J. Buehler

387,977 ๆฌก่ง‚็œ‹ โ€ข 7 ไธชๆœˆๅ‰

๐Ÿš€ Weโ€™re hiring! Staff Scientist / Postdoc โ€“ Tissue Clearing & 3D Image Analysis (m/f/d) (LMU Munich) Are you a great fit, or do you know someone outstanding, please reach out ๐Ÿ” If you want to at the frontier of whole-organ / whole-body 3D imaging, and help generate truly beautiful datasets that drive major biological discoveries and therapeutic development, see below โœจ Weโ€™re building the next-generation pipeline for tissue clearing + light-sheet microscopy + quantitative 3D analysis in the SyNergy Excellence Cluster (Mesoscale Hub) and weโ€™re looking for someone excited to push this forward with us. ๐Ÿง ๐Ÿ”ฌ๐Ÿ“ˆ ๐ŸŽฅ Iโ€™m also attaching a short video showing the kind of high-quality imaging and datasets youโ€™d be working with. What youโ€™ll do ๐Ÿ› ๏ธ ๐Ÿ”น Lead and evolve tissue clearing + light-sheet workflows across collaborative SyNergy projects ๐Ÿ”น Turn complex 3D datasets into robust quantitative insights (visualization, atlas registration, readouts) ๐Ÿ”น Develop new methods and analysis pipelines together with our AI team ๐Ÿค– ๐Ÿ”น Maintain and optimize cutting-edge light-sheet systems (optional: support animal license writing) What weโ€™re looking for ๐ŸŽฏ โœ… Strong hands-on experience in tissue clearing and/or fluorescence microscopy โœ… Solid experience with light-sheet microscopy and 3D imaging workflows โœ… Familiarity with 3D tools like Imaris / arivis Vision4D, stitching (e.g., BigStitcher), and quantitative analysis in cleared tissues โœ… Service mindset, great organization, and strong scientific English How to apply ๐Ÿ“ฉ Apply via the LMU Klinikum online application form Please also send your application to: [email protected] CC: [email protected] ๐Ÿ“Ž Include one PDF: short cover letter, CV, 2โ€“3 referees, and earliest start date. ๐Ÿ“ Campus GroรŸhadern (Munich) and Helmholtz Munich | ๐Ÿ•’ Full-time | ๐Ÿ“… Start: 01 January 2026 If you love high-quality imaging, cutting-edge biology, and building something that will matter, weโ€™d love to hear from you. ๐ŸŒโœจ #hiring #StaffScientist #Postdoc #TissueClearing #LightSheetMicroscopy #ImageAnalysis #SpatialBiology #Neuroscience #SyNergy #LMU #Munich

Ali Max Erturk

14,751 ๆฌก่ง‚็œ‹ โ€ข 7 ไธชๆœˆๅ‰

Today, we're announcing an expansion of Vantorโ€™s industry-leading imaging constellationโ€”eliminating a long-standing tradeoff between accurate, high-resolution imagery and high-frequency monitoring. For the first time, both come together in a single commercial system. 20 cm-class imaging. Global revisits as often as every 15 minutes. This expansion introduces two new satellite classes: ๐Ÿ›ฐ๏ธ Vantor Vantageโ„ข, next-generation 20 cm-class imaging satellites delivering the highest commercial resolution on orbit, coming online as early as 2029 ๐Ÿ›ฐ๏ธ Vantor Pulseโ„ข, a fleet of 40 cm-class satellites designed for persistent, high-frequency monitoring, coming online as early as 2027 These new satellites build on the strength of the Vantor constellationโ€”including our WorldView Legion satellites, which already deliver the most accurate, high-resolution imagery on orbit. By increasing capacity and refresh rates, the expansion reinforces the spatial foundation behind our Tensorglobe spatial intelligence platform, powering a real-time, AI-ready view of the world in 2D and 3D. These capabilities automate the full intelligence cycle within customer environments, enabling a new level of sovereign capability that helps governments and businesses detect change, track activity, and act faster. ๐Ÿ‘‰ Read the full announcement here: Total clarity from space to ground.

Vantor

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