@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 {49275, title = {Lamellar projections in the endolymphatic sac act as a relief valve to regulate inner ear pressure.}, journal = {eLife}, volume = {7}, year = {2018}, month = {2018 Jun 19}, abstract = {

The inner ear is a fluid-filled closed-epithelial structure whose function requires maintenance of an internal hydrostatic pressure and fluid composition. The endolymphatic sac (ES) is a dead-end epithelial tube connected to the inner ear whose function is unclear. ES defects can cause distended ear tissue, a pathology often seen in hearing and balance disorders. Using live imaging of zebrafish larvae, we reveal that the ES undergoes cycles of slow pressure-driven inflation followed by rapid deflation. Absence of these cycles in mutants leads to distended ear tissue. Using serial-section electron microscopy and adaptive optics lattice light-sheet microscopy, we find a pressure relief valve in the ES comprised of partially separated apical junctions and dynamic overlapping basal lamellae that separate under pressure to release fluid. We propose that this lmx1-dependent pressure relief valve is required to maintain fluid homeostasis in the inner ear and other fluid-filled cavities.

}, issn = {2050-084X}, doi = {10.7554/eLife.37131}, author = {Swinburne, Ian A and Mosaliganti, Kishore R and Upadhyayula, Srigokul and Liu, Tsung-Li and Hildebrand, David G C and Tsai, Tony Y-C and Chen, Anzhi and Al-Obeidi, Ebaa and Fass, Anna K and Malhotra, Samir and Engert, Florian and Lichtman, Jeff W and Kirchausen, Tomas and Betzig, Eric and Megason, Sean G} } @article {49173, title = {Observing the cell in its native state: Imaging subcellular dynamics in multicellular organisms.}, journal = {Science (New York, N.Y.)}, volume = {360}, year = {2018}, month = {2018 Apr 20}, abstract = {

True physiological imaging of subcellular dynamics requires studying cells within their parent organisms, where all the environmental cues that drive gene expression, and hence the phenotypes that we actually observe, are present. A complete understanding also requires volumetric imaging of the cell and its surroundings at high spatiotemporal resolution, without inducing undue stress on either. We combined lattice light-sheet microscopy with adaptive optics to achieve, across large multicellular volumes, noninvasive aberration-free imaging of subcellular processes, including endocytosis, organelle remodeling during mitosis, and the migration of axons, immune cells, and metastatic cancer cells in vivo. The technology reveals the phenotypic diversity within cells across different organisms and developmental stages and may offer insights into how cells harness their intrinsic variability to adapt to different physiological environments.

}, issn = {1095-9203}, doi = {10.1126/science.aaq1392}, author = {Liu, Tsung-Li and Upadhyayula, Srigokul and Milkie, Daniel E and Singh, Ved and Wang, Kai and Swinburne, Ian A and Mosaliganti, Kishore R and Collins, Zach M and Hiscock, Tom W and Shea, Jamien and Kohrman, Abraham Q and Medwig, Taylor N and Dambournet, Daphne and Forster, Ryan and Cunniff, Brian and Ruan, Yuan and Yashiro, Hanako and Scholpp, Steffen and Meyerowitz, Elliot M and Hockemeyer, Dirk and Drubin, David G and Martin, Benjamin L and Matus, David Q and Koyama, Minoru and Megason, Sean G and Kirchhausen, Tom and Betzig, Eric} }