@article {70132, title = {Fourier-based three-dimensional multistage transformer for aberration correction in multicellular specimens.}, journal = {Nat Methods}, year = {2025}, month = {2025 Oct 01}, abstract = {

High-resolution tissue imaging is often compromised by sample-induced optical aberrations that degrade resolution and contrast. Although wavefront sensor-based adaptive optics (AO) can measure these aberrations, such hardware solutions are typically complex, expensive to implement and slow when serially mapping spatially varying aberrations across large fields of view. Here we introduce AOVIFT (adaptive optical vision Fourier transformer)-a machine learning-based aberration sensing framework built around a three-dimensional multistage vision transformer that operates on Fourier domain embeddings. AOVIFT infers aberrations and restores diffraction-limited performance in puncta-labeled specimens with substantially reduced computational cost, training time and memory footprint compared to conventional architectures or real-space networks. We validated AOVIFT on live gene-edited zebrafish embryos, demonstrating its ability to correct spatially varying aberrations using either a deformable mirror or postacquisition deconvolution. By eliminating the need for the guide star and wavefront sensing hardware and simplifying the experimental workflow, AOVIFT lowers technical barriers for high-resolution volumetric microscopy across diverse biological samples.

Preprint: https://doi.org/10.48550/arXiv.2503.12593

}, issn = {1548-7105}, doi = {10.1038/s41592-025-02844-7}, url = {https://doi.org/10.1038/s41592-025-02844-7}, author = {Alshaabi, Thayer and Milkie, Daniel E and Liu, Gaoxiang and Shirazinejad, Cyna and Hong, Jason L and Achour, Kemal and G{\"o}rlitz, Frederik and Milunovic-Jevtic, Ana and Simmons, Cat and Abuzahriyeh, Ibrahim S and Hong, Erin and Williams, Samara Erin and Harrison, Nathanael and Huang, Evan and Bae, Eun Seok and Killilea, Alison N and Swinburne, Ian A and Drubin, David G and Upadhyayula, Srigokul and Betzig, Eric} } @article {69994, title = {A multimodal adaptive optical microscope for in vivo imaging from molecules to organisms}, journal = {bioRxiv}, year = {2025}, month = {2025 Jun 16}, abstract = {

Understanding biological systems requires observing features and processes across vast spatial and temporal scales, spanning nanometers to centimeters and milliseconds to days, often using multiple imaging modalities within complex native microenvironments. Yet, achieving this comprehensive view is challenging because microscopes optimized for specific tasks typically lack versatility due to inherent optical and sample handling trade-offs, and frequently suffer performance degradation from sample-induced optical aberrations in multicellular contexts. Here, we present MOSAIC, a reconfigurable microscope that integrates multiple advanced imaging techniques including light-sheet, label-free, super-resolution, and multi-photon, all equipped with adaptive optics. MOSAIC enables non-invasive imaging of subcellular dynamics in both cultured cells and live multicellular organisms, nanoscale mapping of molecular architectures across millimeter-scale expanded tissues, and structural/functional neural imaging within live mice. MOSAIC facilitates correlative studies across biological scales within the same specimen, providing an integrated platform for broad biological investigation.

Preprint:\ https://www.biorxiv.org/content/early/2025/06/13/2025.06.02.657494

}, doi = {10.1101/2025.06.02.657494}, url = {https://www.biorxiv.org/content/early/2025/06/13/2025.06.02.657494}, author = {Fu, Tian-Ming and Liu, Gaoxiang and Milkie, Daniel E. and Ruan, Xiongtao and G{\"o}rlitz, Frederik and Shi, Yu and Ferro, Valentina and Divekar, Nikita S. and Wang, Wei and York, Harrison M. and Kilic, Velat and Mueller, Matthew and Liang, Yajie and Daugird, Timothy A. and Gacha-Garay, Maria J. and Larkin, Kathryn A. and Adikes, Rebecca C. and Harrison, Nathaniel and Shirazinejad, Cyna and Williams, Samara and Nourse, Jamison L. and Sheu, Shu-Hsien and Gao, Liang and Li, Tongchao and Mondal, Chandrani and Achour, Kemal and Hercule, Wilmene and Stabley, Daniel and Emmerich, Kevin and Dong, Peng and Drubin, David and Liu, Zhe J. and Clapham, David and Mumm, Jeff S. and Koyama, Minoru and Killilea, Alison and Bravo-Cordero, Jose Javier and Keene, C. Dirk and Luo, Liqun and Kirchhausen, Tom and Pathak, Medha M. and Arumugam, Senthil and Nunez, James K. and Gao, Ruixuan and Matus, David Q. and Martin, Benjamin L. and Swinburne, Ian A. and Betzig, Eric and Legant, Wesley R. and Upadhyayula, Srigokul} } @article {69559, title = {Nanoscale volumetric fluorescence imaging via photochemical sectioning}, journal = {bioRxiv}, year = {2024}, month = {2024 Aug 05}, abstract = {

Optical nanoscopy of intact biological specimens has been transformed by recent advancements in hydrogel-based tissue clearing and expansion, enabling the imaging of cellular and subcellular structures with molecular contrast. However, existing high-resolution fluorescence microscopes have limited imaging depth, which prevents the study of whole-mount specimens without physical sectioning. To address this challenge, we developed {\textquotedblleft}photochemical sectioning,{\textquotedblright} a spatially precise, light-based sample sectioning process. By combining photochemical sectioning with volumetric lattice light-sheet imaging and petabyte-scale computation, we imaged and reconstructed axons and myelination sheaths across entire mouse olfactory bulbs at nanoscale resolution. An olfactory-bulb-wide analysis of myelinated and unmyelinated axons revealed distinctive patterns of axon degeneration and de-/dysmyelination in the neurodegenerative mouse, highlighting the potential for peta- to exabyte-scale super-resolution studies using this approach.

}, doi = {10.1101/2024.08.01.605857}, url = {https://doi.org/10.1101/2024.08.01.605857}, author = {Wang, Wei and Ruan, Xiongtao and Liu, Gaoxiang and Milkie, Daniel E. and Li, Wenping and Betzig, Eric and Upadhyayula, Srigokul and Gao, Ruixuan} } @article {68675, title = {Origin of wiring specificity in an olfactory map revealed by neuron type-specific, time-lapse imaging of dendrite targeting.}, journal = {eLife}, volume = {12}, year = {2023}, month = {2023 Mar 28}, abstract = {

How does wiring specificity of neural maps emerge during development? Formation of the adult olfactory glomerular map begins with patterning of projection neuron (PN) dendrites at the early pupal stage. To better understand the origin of wiring specificity of this map, we created genetic tools to systematically characterize dendrite patterning across development at PN type-specific resolution. We find that PNs use lineage and birth order combinatorially to build the initial dendritic map. Specifically, birth order directs dendrite targeting in rotating and binary manners for PNs of the anterodorsal and lateral lineages, respectively. Two-photon- and adaptive optical lattice light-sheet microscope-based time-lapse imaging reveals that PN dendrites initiate active targeting with direction-dependent branch stabilization on the timescale of seconds. Moreover, PNs that are used in both the larval and adult olfactory circuits prune their larval-specific dendrites and re-extend new dendrites simultaneously to facilitate timely olfactory map organization. Our work highlights the power and necessity of type-specific neuronal access and time-lapse imaging in identifying wiring mechanisms that underlie complex patterns of functional neural maps.

}, issn = {2050-084X}, doi = {10.7554/eLife.85521}, author = {Wong, Kenneth Kin Lam and Li, Tongchao and Fu, Tian-Ming and Liu, Gaoxiang and Lyu, Cheng and Kohani, Sayeh and Xie, Qijing and Luginbuhl, David J and Upadhyayula, Srigokul and Betzig, Eric and Luo, Liqun} }