Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction von Belthangady, Chinmay, Royer, Loic A.

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Omega — harnessing the power of large language models for bioimage analysis von Royer, Loïc A.

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The future of bioimage analysis: a dialog between mind and machine von Royer, Loïc A.

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A Liquid-to-Solid Phase Transition of the ALS Protein FUS Accelerated by Disease Mutation von Patel, Avinash, Lee, Hyun O., Jawerth, Louise, Maharana, Shovamayee, Jahnel, Marcus, Hein, Marco Y., Stoynov, Stoyno, Mahamid, Julia, Saha, Shambaditya, Franzmann, Titus M., Pozniakovski, Andrej, Poser, Ina, Maghelli, Nicola, Royer, Loic A., Weigert, Martin, Myers, Eugene W., Grill, Stephan, Drechsel, David, Hyman, Anthony A., Alberti, Simon

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Self-supervised deep learning encodes high-resolution features of protein subcellular localization von Kobayashi, Hirofumi, Cheveralls, Keith C., Leonetti, Manuel D., Royer, Loic A.

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CLIJ: GPU-accelerated image processing for everyone von Haase, Robert, Royer, Loic A., Steinbach, Peter, Schmidt, Deborah, Dibrov, Alexandr, Schmidt, Uwe, Weigert, Martin, Maghelli, Nicola, Tomancak, Pavel, Jug, Florian, Myers, Eugene W.

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Content-aware image restoration: pushing the limits of fluorescence microscopy von Weigert, Martin, Schmidt, Uwe, Boothe, Tobias, Müller, Andreas, Dibrov, Alexandr, Jain, Akanksha, Wilhelm, Benjamin, Schmidt, Deborah, Broaddus, Coleman, Culley, Siân, Rocha-Martins, Mauricio, Segovia-Miranda, Fabián, Norden, Caren, Henriques, Ricardo, Zerial, Marino, Solimena, Michele, Rink, Jochen, Tomancak, Pavel, Royer, Loic, Jug, Florian, Myers, Eugene W.

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DaXi—high-resolution, large imaging volume and multi-view single-objective light-sheet microscopy von Yang, Bin, Lange, Merlin, Millett-Sikking, Alfred, Zhao, Xiang, Bragantini, Jordão, VijayKumar, Shruthi, Kamb, Mason, Gómez-Sjöberg, Rafael, Solak, Ahmet Can, Wang, Wanpeng, Kobayashi, Hirofumi, McCarroll, Matthew N., Whitehead, Lachlan W., Fiolka, Reto P., Kornberg, Thomas B., York, Andrew G., Royer, Loic A.

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Neuropilin-1 Mediates SARS-CoV-2 Infection of Astrocytes in Brain Organoids, Inducing Inflammation Leading to Dysfunction and Death of Neurons von Kong, Weili, Montano, Mauricio, Corley, Michael J, Helmy, Ekram, Kobayashi, Hirofumi, Kinisu, Martin, Suryawanshi, Rahul, Luo, Xiaoyu, Royer, Loic A, Roan, Nadia R, Ott, Melanie, Ndhlovu, Lishomwa C, Greene, Warner C

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A practical guide to adaptive light-sheet microscopy von Royer, Loïc A., Lemon, William C., Chhetri, Raghav K., Keller, Philipp J.

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ClearVolume: open-source live 3D visualization for light-sheet microscopy von Royer, Loic A, Weigert, Martin, Günther, Ulrik, Maghelli, Nicola, Jug, Florian, Sbalzarini, Ivo F, Myers, Eugene W

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Cellular aspect ratio and cell division mechanics underlie the patterning of cell progeny in diverse mammalian epithelia von McKinley, Kara L, Stuurman, Nico, Royer, Loic A, Schartner, Christoph, Castillo-Azofeifa, David, Delling, Markus, Klein, Ophir D, Vale, Ronald D

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Colocalization Analysis for Cryosectioned and Immunostained Tissue Samples with or without Label Retention Expansion Microscopy (LR-ExM) by JACoP von Zhao, Xiang, Garcia, Jason, Royer, Loic A, Guo, Su

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Maximizing single cell dissociation protocol for individual zebrafish embryo von VijayKumar, Shruthi, Borja, Michael, Neff, Norma, Royer, Loïc A., Lange, Merlin

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In Toto Imaging and Reconstruction of Post-Implantation Mouse Development at the Single-Cell Level von McDole, Katie, Guignard, Léo, Amat, Fernando, Berger, Andrew, Malandain, Grégoire, Royer, Loïc A., Turaga, Srinivas C., Branson, Kristin, Keller, Philipp J.

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Elimination of nurse cell nuclei that shuttle into oocytes during oogenesis von Ali-Murthy, Zehra, Fetter, Richard D, Wang, Wanpeng, Yang, Bin, Royer, Loic A, Kornberg, Thomas B

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Unraveling protein networks with power graph analysis von Royer, Loïc, Reimann, Matthias, Andreopoulos, Bill, Schroeder, Michael

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OME-Zarr: a cloud-optimized bioimaging file format with international community support von Moore, Josh, Basurto-Lozada, Daniela, Besson, Sébastien, Bogovic, John, Bragantini, Jordão, Brown, Eva M., Burel, Jean-Marie, Casas Moreno, Xavier, de Medeiros, Gustavo, Diel, Erin E., Gault, David, Ghosh, Satrajit S., Gold, Ilan, Halchenko, Yaroslav O., Hartley, Matthew, Horsfall, Dave, Keller, Mark S., Kittisopikul, Mark, Kovacs, Gabor, Küpcü Yoldaş, Aybüke, Kyoda, Koji, le Tournoulx de la Villegeorges, Albane, Li, Tong, Liberali, Prisca, Lindner, Dominik, Linkert, Melissa, Lüthi, Joel, Maitin-Shepard, Jeremy, Manz, Trevor, Marconato, Luca, McCormick, Matthew, Lange, Merlin, Mohamed, Khaled, Moore, William, Norlin, Nils, Ouyang, Wei, Özdemir, Bugra, Palla, Giovanni, Pape, Constantin, Pelkmans, Lucas, Pietzsch, Tobias, Preibisch, Stephan, Prete, Martin, Rzepka, Norman, Samee, Sameeul, Schaub, Nicholas, Sidky, Hythem, Solak, Ahmet Can, Stirling, David R., Striebel, Jonathan, Tischer, Christian, Toloudis, Daniel, Virshup, Isaac, Walczysko, Petr, Watson, Alan M., Weisbart, Erin, Wong, Frances, Yamauchi, Kevin A., Bayraktar, Omer, Cimini, Beth A., Gehlenborg, Nils, Haniffa, Muzlifah, Hotaling, Nathan, Onami, Shuichi, Royer, Loic A., Saalfeld, Stephan, Stegle, Oliver, Theis, Fabian J., Swedlow, Jason R.

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Parallel hierarchies: A visualization for cross-tabulating hierarchical categories von Vosough, Zana, Hogräfer, Marius, Royer, Loïc A., Groh, Rainer, Schulz, Hans-Jörg

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Democratising deep learning for microscopy with ZeroCostDL4Mic von von Chamier, Lucas, Laine, Romain F., Jukkala, Johanna, Spahn, Christoph, Krentzel, Daniel, Nehme, Elias, Lerche, Martina, Hernández-Pérez, Sara, Mattila, Pieta K., Karinou, Eleni, Holden, Séamus, Solak, Ahmet Can, Krull, Alexander, Buchholz, Tim-Oliver, Jones, Martin L., Royer, Loïc A., Leterrier, Christophe, Shechtman, Yoav, Jug, Florian, Heilemann, Mike, Jacquemet, Guillaume, Henriques, Ricardo

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