@article {69719, title = {Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopyAbstract}, journal = {Nature Communications}, volume = {16}, year = {2025}, month = {Jan-12-2025}, abstract = {

Optical aberrations hinder fluorescence microscopy of thick samples, reducing image signal, contrast, and resolution. Here we introduce a deep learning-based strategy for aberration compensation, improving image quality without slowing image acquisition, applying additional dose, or introducing more optics. Our method (i) introduces synthetic aberrations to images acquired on the shallow side of image stacks, making them resemble those acquired deeper into the volume and (ii) trains neural networks to reverse the effect of these aberrations. We use simulations and experiments to show that applying the trained {\textquoteleft}de-aberration{\textquoteright} networks outperforms alternative methods, providing restoration on par with adaptive optics techniques; and subsequently apply the networks to diverse datasets captured with confocal, light-sheet, multi-photon, and super-resolution microscopy. In all cases, the improved quality of the restored data facilitates qualitative image inspection and improves downstream image quantitation, including orientational analysis of blood vessels in mouse tissue and improved membrane and nuclear segmentation in\ C. elegans\ embryos.

}, doi = {10.1038/s41467-024-55267-x}, url = {https://www.nature.com/articles/s41467-024-55267-xhttps://www.nature.com/articles/s41467-024-55267-x.pdfhttps://www.nature.com/articles/s41467-024-55267-x.pdfhttps://www.nature.com/articles/s41467-024-55267-x}, author = {Guo, Min and Wu, Yicong and Hobson, Chad M. and Su, Yijun and Qian, Shuhao and Krueger, Eric and Christensen, Ryan and Kroeschell, Grant and Bui, Johnny and Chaw, Matthew and Zhang, Lixia and Liu, Jiamin and Hou, Xuekai and Han, Xiaofei and Lu, Zhiye and Ma, Xuefei and Zhovmer, Alexander and Combs, Christian and Moyle, Mark and Yemini, Eviatar and Liu, Huafeng and Liu, Zhiyi and Benedetto, Alexandre and La Riviere, Patrick and Col{\'o}n-Ramos, Daniel and Shroff, Hari} } @article {69792, title = {Volumetric imaging of the 3D orientation of cellular structures with a polarized fluorescence light-sheet microscope.}, journal = {Proc Natl Acad Sci }, volume = {122}, year = {2025}, month = {2025 Feb 25}, pages = {e2406679122}, abstract = {

Polarized fluorescence microscopy is a valuable tool for measuring molecular orientations in biological samples, but techniques for recovering three-dimensional orientations and positions of fluorescent ensembles are limited. We report a polarized dual-view light-sheet system for determining the diffraction-limited three-dimensional distribution of the orientations and positions of ensembles of fluorescent dipoles that label biological structures. We share a set of visualization, histogram, and profiling tools for interpreting these positions and orientations. We model the distributions based on the polarization-dependent efficiency of excitation and detection of emitted fluorescence, using coarse-grained representations we call orientation distribution functions (ODFs). We apply ODFs to create physics-informed models of image formation with spatio-angular point-spread and transfer functions. We use theory and experiment to conclude that light-sheet tilting is a necessary part of our design for recovering all three-dimensional orientations. We use our system to extend known two-dimensional results to three dimensions in FM1-43-labeled giant unilamellar vesicles, fast-scarlet-labeled cellulose in xylem cells, and phalloidin-labeled actin in U2OS cells. Additionally, we observe phalloidin-labeled actin in mouse fibroblasts grown on grids of labeled nanowires and identify correlations between local actin alignment and global cell-scale orientation, indicating cellular coordination across length scales.

}, keywords = {Actins, Animals, Humans, Imaging, Three-Dimensional, Mice, Microscopy, Fluorescence, Microscopy, Polarization, Xylem}, issn = {1091-6490}, doi = {10.1073/pnas.2406679122}, author = {Chandler, Talon and Guo, Min and Su, Yijun and Chen, Jiji and Wu, Yicong and Liu, Junyu and Agashe, Atharva and Fischer, Robert S and Mehta, Shalin B and Kumar, Abhishek and Baskin, Tobias I and Jaumouill{\'e}, Valentin and Liu, Huafeng and Swaminathan, Vinay and Nain, Amrinder S and Oldenbourg, Rudolf and La Riviere, Patrick J and Shroff, Hari} } @article {69371, title = {Amino acid transporter SLC7A5 regulates cell proliferation and secretary cell differentiation and distribution in the mouse intestine}, journal = {Int J Biol Sci}, volume = {20}, year = {2024}, month = {2024 Mar 25}, pages = {2187-2201}, abstract = {

The intestine is critical for not only processing nutrients but also protecting the organism from the environment. These functions are mainly carried out by the epithelium, which is constantly being self-renewed. Many genes and pathways can influence intestinal epithelial cell proliferation. Among them is mTORC1, whose activation increases cell proliferation. Here, we report the first intestinal epithelial cell (IEC)-specific knockout () of an amino acid transporter capable of activating mTORC1. We show that the transporter, SLC7A5, is highly expressed in mouse intestinal crypt and reduces mTORC1 signaling. Surprisingly, adult intestinal crypts have increased cell proliferation but reduced mature Paneth cells. Goblet cells, the other major secretory cell type in the small intestine, are increased in the crypts but reduced in the villi. Analyses with scRNA-seq and electron microscopy have revealed dedifferentiation of Paneth cells in mice, leading to markedly reduced secretory granules with little effect on Paneth cell number. Thus, SLC7A5 likely regulates secretory cell differentiation to affect stem cell niche and indirectly regulate cell proliferation.

}, keywords = {Amino Acid Transport Systems, Animals, Cell Differentiation, Cell Proliferation, Large Neutral Amino Acid-Transporter 1, Mechanistic Target of Rapamycin Complex 1, Mice}, issn = {1449-2288}, doi = {10.7150/ijbs.94297}, author = {Bao, Lingyu and Fu, Liezhen and Su, Yijun and Chen, Zuojia and Peng, Zhaoyi and Sun, Lulu and Gonzalez, Frank J and Wu, Chuan and Zhang, Hongen and Shi, Bingyin and Shi, Yun-Bo} } @article {69297, title = {Cell division machinery drives cell-specific gene activation during differentiation in .}, journal = {Proc Natl Acad Sci U S A}, volume = {121}, year = {2024}, month = {2024 Mar 6}, pages = {e2400584121}, abstract = {

When faced with starvation, the bacterium transforms itself into a dormant cell type called a "spore". Sporulation initiates with an asymmetric division event, which requires the relocation of the core divisome components FtsA and FtsZ, after which the sigma factor σ is exclusively activated in the smaller daughter cell. Compartment-specific activation of σ requires the SpoIIE phosphatase, which displays a biased localization on one side of the asymmetric division septum and associates with the structural protein DivIVA, but the mechanism by which this preferential localization is achieved is unclear. Here, we isolated a variant of DivIVA that indiscriminately activates σ in both daughter cells due to promiscuous localization of SpoIIE, which was corrected by overproduction of FtsA and FtsZ. We propose that the core components of the redeployed cell division machinery drive the asymmetric localization of DivIVA and SpoIIE to trigger the initiation of the sporulation program.

}, issn = {1091-6490}, doi = {10.1073/pnas.2400584121}, author = {Chareyre, Sylvia and Li, Xuesong and Anjuwon-Foster, Brandon R and Updegrove, Taylor B and Clifford, Sarah and Brogan, Anna P and Su, Yijun and Zhang, Lixia and Chen, Jiji and Shroff, Hari and Ramamurthi, Kumaran S} } @article {69128, title = {Phase diversity-based wavefront sensing for fluorescence microscopy.}, journal = {Optica}, volume = {11}, year = {2024}, month = {2024 Jun 10}, pages = {806-820}, abstract = {

Fluorescence microscopy is an invaluable tool in biology, yet its performance is compromised when the wavefront of light is distorted due to optical imperfections or the refractile nature of the sample. Such optical aberrations can dramatically lower the information content of images by degrading image contrast, resolution, and signal. Adaptive optics (AO) methods can sense and subsequently cancel the aberrated wavefront, but are too complex, inefficient, slow, or expensive for routine adoption by most labs. Here we introduce a rapid, sensitive, and robust wavefront sensing scheme based on phase diversity, a method successfully deployed in astronomy but underused in microscopy. Our method enables accurate wavefront sensing to less than λ/35 root mean square (RMS) error with few measurements, and AO with no additional hardware besides a corrective element. After validating the method with simulations, we demonstrate calibration of a deformable mirror \> 100-fold faster than comparable methods (corresponding to wavefront sensing on the ~100 ms scale), and sensing and subsequent correction of severe aberrations (RMS wavefront distortion exceeding λ/2), restoring diffraction-limited imaging on extended biological samples.

}, doi = {10.1364/OPTICA.518559}, url = {https://doi.org/10.1364/OPTICA.518559}, author = {Johnson, Courtney and Guo, Min and Schneider, Magdalena C and Su, Yijun and Khuon, Satya and Reiser, Nikolaj and Wu, Yicong and Riviere, Patrick La and Shroff, Hari} } @article {69655, title = {Rapid Whole-Organ Characterization via Quantitative Light-Sheet Microscopy}, journal = {Laser \& Photonics Reviews}, year = {2024}, month = {2024 Oct 22}, pages = {2401177}, abstract = {

Whole-organ imaging and characterization at a submicron level provide abundant information on development and diseases while remaining a big challenge, especially in the context of time load. Herein, a quantitative light-sheet microscopy platform that enabled highly time-efficient assessments of fibrous structures within the intact cleared tissue is developed. Dual-view inverted selective plane illumination microscopy (diSPIM), followed by improved registration and deconvolution, led to submicron isotropic imaging of mouse upper genital tract with one hundred-fold speed-ups than previous efforts. Further, optical metrics quantifying 3D local density and structural complexity of targets based on parallel and vectorized convolution in both spatial and frequency domains are developed. Collectively, ≈400{\textendash}2000 fold increases in time efficiency counting for imaging, postprocessing, and quantitative characterization compared to the traditional method is gained. Using this platform, automatic identification of medulla and cortex within the mouse ovary at over 90\% overlap with manual selection by anatomy experts is achieved. Additionally, heterogeneous distributions of immune cells in the mouse ovary and fallopian tube, offering a unique perspective for understanding the immune microenvironment are discovered. This work paves the way for future whole-organ study, and exhibits potential with promise for offering mechanistic insights into physiological and pathological alterations of biological tissues.

}, keywords = {immune microenvironment, light-sheet microscopy, quantitative characterization, whole-organ imaging}, doi = {10.1002/lpor.202401177}, url = {https://doi.org/10.1002/lpor.202401177}, author = {Chen, Lingmei and Su, Yijun and Qian, Shuhao and Zhou, Lingxi and Han, Tao and Wang, Chuncheng and Jiang, Rushan and Ding, Zhihua and Guo, Min and Liu, Zhiyi} }