@article {68587, title = {Automated reconstruction of whole-embryo cell lineages by learning from sparse annotations.}, journal = {Nature Biotechnology}, volume = {41}, year = {2023}, month = {2023 Jan 01}, pages = {44-49}, abstract = {

We present a method to automatically identify and track nuclei in time-lapse microscopy recordings of entire developing embryos. The method combines deep learning and global optimization. On a mouse dataset, it reconstructs 75.8\% of cell lineages spanning 1 h, as compared to 31.8\% for the competing method. Our approach improves understanding of where and when cell fate decisions are made in developing embryos, tissues, and organs.

}, keywords = {Animals, Blastocyst, Cell Lineage, Embryo, Mammalian, Mice, Microscopy}, issn = {1546-1696}, doi = {10.1038/s41587-022-01427-7}, author = {Malin-Mayor, Caroline and Hirsch, Peter and Guignard, Leo and McDole, Katie and Wan, Yinan and Lemon, William C and Kainmueller, Dagmar and Keller, Philipp J and Preibisch, Stephan and Funke, Jan} } @article {68313, title = {Automated reconstruction of whole-embryo cell lineages by learning from sparse annotations.}, journal = {Nature Biotechnology}, year = {2022}, month = {2022 Sep 05}, abstract = {

We present a method to automatically identify and track nuclei in time-lapse microscopy recordings of entire developing embryos. The method combines deep learning and global optimization. On a mouse dataset, it reconstructs 75.8\% of cell lineages spanning 1 h, as compared to 31.8\% for the competing method. Our approach improves understanding of where and when cell fate decisions are made in developing embryos, tissues, and organs.

}, issn = {1546-1696}, doi = {10.1038/s41587-022-01427-7}, author = {Malin-Mayor, Caroline and Hirsch, Peter and Guignard, Leo and McDole, Katie and Wan, Yinan and Lemon, William C and Kainmueller, Dagmar and Keller, Philipp J and Preibisch, Stephan and Funke, Jan} } @article {65758, title = {Nuclear crowding and nonlinear diffusion during interkinetic nuclear migration in the zebrafish retina.}, journal = {eLife}, volume = {9}, year = {2020}, month = {2020 Oct 06}, abstract = {

An important question in early neural development is the origin of stochastic nuclear movement between apical and basal surfaces of neuroepithelia during interkinetic nuclear migration. Tracking of nuclear subpopulations has shown evidence of diffusion - mean squared displacements growing linearly in time - and suggested crowding from cell division at the apical surface drives basalward motion. Yet, this hypothesis has not yet been tested, and the forces involved not quantified. We employ long-term, rapid light-sheet and two-photon imaging of early zebrafish retinogenesis to track entire populations of nuclei within the tissue. The time-varying concentration profiles show clear evidence of crowding as nuclei reach close-packing and are quantitatively described by a nonlinear diffusion model. Considerations of nuclear motion constrained inside the enveloping cell membrane show that concentration-dependent stochastic forces inside cells, compatible in magnitude to those found in cytoskeletal transport, can explain the observed magnitude of the diffusion constant.

}, issn = {2050-084X}, doi = {10.7554/eLife.58635}, author = {Azizi, Afnan and Herrmann, Anne and Wan, Yinan and Buse, Salvador Jrp and Keller, Philipp J and Goldstein, Raymond E and Harris, William A} } @article {65175, title = {Histone H3K27 acetylation precedes active transcription during zebrafish zygotic genome activation as revealed by live-cell analysis.}, journal = {Development}, volume = {146}, year = {2019}, month = {2019 Sep 30}, abstract = {

Histone post-translational modifications are key gene expression regulators, but their rapid dynamics during development remain difficult to capture. We applied a Fab-based live endogenous modification labeling technique to monitor the changes in histone modification levels during zygotic genome activation (ZGA) in living zebrafish embryos. Among various histone modifications, H3 Lys27 acetylation (H3K27ac) exhibited most drastic changes, accumulating in two nuclear foci in the 64- to 1k-cell-stage embryos. The elongating form of RNA polymerase II, which is phosphorylated at Ser2 in heptad repeats within the C-terminal domain (RNAP2 Ser2ph), and miR-430 transcripts were also concentrated in foci closely associated with H3K27ac. When treated with α-amanitin to inhibit transcription or JQ-1 to inhibit binding of acetyl-reader proteins, H3K27ac foci still appeared but RNAP2 Ser2ph and miR-430 morpholino were not concentrated in foci, suggesting that H3K27ac precedes active transcription during ZGA. We anticipate that the method presented here could be applied to a variety of developmental processes in any model and non-model organisms.

}, issn = {1477-9129}, doi = {10.1242/dev.179127}, author = {Sato, Yuko and Hilbert, Lennart and Oda, Haruka and Wan, Yinan and Heddleston, John M and Chew, Teng-Leong and Zaburdaev, Vasily and Keller, Philipp and Lionnet, Timoth{\'e}e and Vastenhouw, Nadine and Kimura, Hiroshi} } @article {65057, title = {Light-sheet microscopy and its potential for understanding developmental processes.}, journal = {Annual Review of Cell and Developmental Biology}, volume = {35}, year = {2019}, month = {2019 Oct 6}, pages = {655-81}, abstract = {

The ability to visualize and quantitatively measure dynamic biological processes in vivo and at high spatiotemporal resolution is of fundamental importance to experimental investigations in developmental biology. Light-sheet microscopy is particularly well suited to providing such data, since it offers exceptionally high imaging speed and good spatial resolution while minimizing light-induced damage to the specimen. We review core principles and recent advances in light-sheet microscopy, with a focus on concepts and implementations relevant for applications in developmental biology. We discuss how light-sheet microcopy has helped advance our understanding of developmental processes from single-molecule to whole-organism studies, assess the potential for synergies with other state-of-the-art technologies, and introduce methods for computational image and data analysis. Finally, we explore the future trajectory of light-sheet microscopy, discuss key efforts to disseminate new light-sheet technology, and identify exciting opportunities for further advances.

}, issn = {1530-8995}, doi = {10.1146/annurev-cellbio-100818-125311}, author = {Wan, Yinan and McDole, Katie and Keller, Philipp J} } @article {65162, title = {Single-cell reconstruction of emerging population activity in an entire developing circuit.}, journal = {Cell}, volume = {179}, year = {2019}, month = {2019 Sep 23}, abstract = {

Animal survival requires a functioning nervous system to develop during embryogenesis. Newborn neurons must assemble into circuits producing activity patterns capable of instructing behaviors. Elucidating how this process is coordinated requires new methods that follow maturation and activity of all cells across a developing circuit. We present an imaging method for comprehensively tracking neuron lineages, movements, molecular identities, and activity in the entire developing zebrafish spinal cord, from neurogenesis until the emergence of patterned activity instructing the earliest spontaneous motor behavior. We found that motoneurons are active first and form local patterned ensembles with neighboring neurons. These ensembles merge, synchronize globally after reaching a threshold size, and finally recruit commissural interneurons to orchestrate the left-right alternating patterns important for locomotion in vertebrates. Individual neurons undergo functional maturation stereotypically based on their birth time and anatomical origin. Our study provides a general strategy for reconstructing how functioning circuits emerge during embryogenesis.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2019.08.039}, author = {Wan, Yinan and Wei, Ziqiang and Looger, Loren L and Koyama, Minoru and Druckmann, Shaul and Keller, Philipp J} } @article {47987, title = {Adaptive light-sheet microscopy for long-term, high-resolution imaging in living organisms.}, journal = {Nature Biotechnology}, volume = {34}, year = {2016}, month = {2016 Oct 31}, pages = {1267-78}, abstract = {

Optimal image quality in light-sheet microscopy requires a perfect overlap between the illuminating light sheet and the focal plane of the detection objective. However, mismatches between the light-sheet and detection planes are common owing to the spatiotemporally varying optical properties of living specimens. Here we present the AutoPilot framework, an automated method for spatiotemporally adaptive imaging that integrates (i) a multi-view light-sheet microscope capable of digitally translating and rotating light-sheet and detection planes in three dimensions and (ii) a computational method that continuously optimizes spatial resolution across the specimen volume in real time. We demonstrate long-term adaptive imaging of entire developing zebrafish (Danio rerio) and Drosophila melanogaster embryos and perform adaptive whole-brain functional imaging in larval zebrafish. Our method improves spatial resolution and signal strength two to five-fold, recovers cellular and sub-cellular structures in many regions that are not resolved by non-adaptive imaging, adapts to spatiotemporal dynamics of genetically encoded fluorescent markers and robustly optimizes imaging performance during large-scale morphogenetic changes in living organisms.

}, issn = {1546-1696}, doi = {10.1038/nbt.3708}, author = {Royer, Lo{\"\i}c A and Lemon, William C and Chhetri, Raghav K and Wan, Yinan and Coleman, Michael and Myers, Eugene W and Keller, Philipp J} } @article {48297, title = {The ciliary marginal zone of the zebrafish retina: clonal and time-lapse analysis of a continuously growing tissue.}, journal = {Development (Cambridge, England)}, volume = {143}, year = {2016}, month = {2016 Apr 01}, pages = {1099-107}, abstract = {

Clonal analysis is helping us understand the dynamics of cell replacement in homeostatic adult tissues (Simons and Clevers, 2011). Such an analysis, however, has not yet been achieved for continuously growing adult tissues, but is essential if we wish to understand the architecture of adult organs. The retinas of lower vertebrates grow throughout life from retinal stem cells (RSCs) and retinal progenitor cells (RPCs) at the rim of the retina, called the ciliary marginal zone (CMZ). Here, we show that RSCs reside in a niche at the extreme periphery of the CMZ and divide asymmetrically along a radial (peripheral to central) axis, leaving one daughter in the peripheral RSC niche and the other more central where it becomes an RPC. We also show that RPCs of the CMZ have clonal sizes and compositions that are statistically similar to progenitor cells of the embryonic retina and fit the same stochastic model of proliferation. These results link embryonic and postembryonic cell behaviour, and help to explain the constancy of tissue architecture that has been generated over a lifetime.

}, keywords = {Animals, Animals, Genetically Modified, Cell Differentiation, Cell Division, Cell Proliferation, Gene Expression Regulation, Developmental, Retina, Stem Cells, Zebrafish}, issn = {1477-9129}, doi = {10.1242/dev.133314}, author = {Wan, Yinan and Almeida, Alexandra D and Rulands, Steffen and Chalour, Naima and Muresan, Leila and Wu, Yunmin and Simons, Benjamin D and He, Jie and Harris, William A} } @article {47267, title = {Real-time three-dimensional cell segmentation in large-scale microscopy data of developing embryos.}, journal = {Developmental Cell}, volume = {36}, year = {2016}, month = {2016 Jan 25}, pages = {225-40}, abstract = {

We present the Real-time Accurate Cell-shape Extractor (RACE), a high-throughput image analysis framework for automated three-dimensional cell segmentation in large-scale images. RACE is 55{\textendash}330 times faster and 2{\textendash}5 times more accurate than state-of-the-art methods. We demonstrate the generality of RACE by extracting cell-shape information from entire Drosophila, zebrafish, and mouse embryos imaged with confocal and light-sheet microscopes. Using RACE, we automatically reconstructed cellular-resolution tissue anisotropy maps across developing Drosophila embryos and quantified differences in cell-shape dynamics in wild-type and mutant embryos. We furthermore integrated RACE with our framework for automated cell lineaging and performed joint segmentation and cell tracking in entire Drosophila embryos. RACE processed these terabyte-sized datasets on a single computer within 1.4\ days. RACE is easy to use, as it requires adjustment of only three parameters, takes full advantage of state-of-the-art multi-core processors and graphics cards, and is available as open-source software for Windows, Linux, and Mac\ OS.

}, doi = {10.1016/j.devcel.2015.12.028}, author = {Stegmaier, Johannes and Amat, Fernando and Lemon, William C and McDole, Katie and Wan, Yinan and Teodoro, George and Mikut, Ralf and Keller, Philipp J} } @article {47814, title = {Whole-animal imaging with high spatio-temporal resolution.}, journal = {Proceedings of SPIE}, volume = {9720}, year = {2016}, month = {2016 Jul 18}, pages = {97200R}, abstract = {

We developed isotropic multiview (IsoView) light-sheet microscopy in order to image fast cellular dynamics, such as cell movements in an entire developing embryo or neuronal activity throughput an entire brain or nervous system, with high resolution in all dimensions, high imaging speeds, good physical coverage and low photo-damage. To achieve high temporal resolution and high spatial resolution at the same time, IsoView microscopy rapidly images large specimens via simultaneous light-sheet illumination and fluorescence detection along four orthogonal directions. In a post-processing step, these four views are then combined by means of high-throughput multiview deconvolution to yield images with a system resolution of <= 450 nm in all three dimensions. Using IsoView microscopy, we performed whole-animal functional imaging of Drosophila embryos and larvae at a spatial resolution of 1.1-2.5 μm and at a temporal resolution of 2 Hz for up to 9 hours. We also performed whole-brain functional imaging in larval zebrafish and multicolor imaging of fast cellular dynamics across entire, gastrulating Drosophila embryos with isotropic, sub-cellular resolution. Compared with conventional (spatially anisotropic) light-sheet microscopy, IsoView microscopy improves spatial resolution at least sevenfold and decreases resolution anisotropy at least threefold. Compared with existing high-resolution light-sheet techniques, such as lattice lightsheet microscopy or diSPIM, IsoView microscopy effectively doubles the penetration depth and provides subsecond temporal resolution for specimens 400-fold larger than could previously be imaged.

}, isbn = {978-162841954-2}, issn = { 0277786X}, doi = {10.1117/12.2212564}, author = {Chhetri, Raghav and Amat, Fernando and Wan, Yinan and H{\"o}ckendorf, Burkhard and Lemon, William C and Keller, Philipp J} } @article {46813, title = {BlastNeuron for automated comparison, retrieval and clustering of 3D neuron morphologies.}, journal = {Neuroinformatics}, volume = {13}, year = {2015}, month = {2015 Jun 3}, pages = {487-99}, abstract = {

Characterizing the identity and types of neurons in the brain, as well as their associated function, requires a means of quantifying and comparing 3D neuron morphology. Presently, neuron comparison methods are based on statistics from neuronal morphology such as size and number of branches, which are not fully suitable for detecting local similarities and differences in the detailed structure. We developed BlastNeuron to compare neurons in terms of their global appearance, detailed arborization patterns, and topological similarity. BlastNeuron first compares and clusters 3D neuron reconstructions based on global morphology features and moment invariants, independent of their orientations, sizes, level of reconstruction and other variations. Subsequently, BlastNeuron performs local alignment between any pair of retrieved neurons via a tree-topology driven dynamic programming method. A 3D correspondence map can thus be generated at the resolution of single reconstruction nodes. We applied BlastNeuron to three datasets: (1) 10,000+ neuron reconstructions from a public morphology database, (2) 681 newly and manually reconstructed neurons, and (3) neurons reconstructions produced using several independent reconstruction methods. Our approach was able to accurately and efficiently retrieve morphologically and functionally similar neuron structures from large morphology database, identify the local common structures, and find clusters of neurons that share similarities in both morphology and molecular profiles.

}, issn = {1559-0089}, doi = {10.1007/s12021-015-9272-7}, author = {Wan, Yinan and Long, Fuhui and Qu, Lei and Xiao, Hang and Hawrylycz, Michael and Myers, Eugene W and Peng, Hanchuan} } @article {47082, title = {Efficient processing and analysis of large-scale light-sheet microscopy data.}, journal = {Nature Protocols}, volume = {10}, year = {2015}, month = {2015 Oct 2}, pages = {1679-96}, abstract = {

Light-sheet microscopy is a powerful method for imaging the development and function of complex biological systems at high spatiotemporal resolution and over long time scales. Such experiments typically generate terabytes of multidimensional image data, and thus they demand efficient computational solutions for data management, processing and analysis. We present protocols and software to tackle these steps, focusing on the imaging-based study of animal development. Our protocols facilitate (i) high-speed lossless data compression and content-based multiview image fusion optimized for multicore CPU architectures, reducing image data size 30{\textendash}500-fold; (ii) automated large-scale cell tracking and segmentation; and (iii) visualization, editing and annotation of multiterabyte image data and cell-lineage reconstructions with tens of millions of data points. These software modules are open source. They provide high data throughput using a single computer workstation and are readily applicable to a wide spectrum of biological model systems.

}, doi = {10.1038/nprot.2015.111}, author = {Amat, Fernando and H{\"o}ckendorf, Burkhard and Wan, Yinan and Lemon, William C and McDole, Katie and Keller, Philipp J} } @article {47116, title = {Whole-animal functional and developmental imaging with isotropic spatial resolution}, journal = {Nature Methods}, volume = {12}, year = {2015}, month = {2015 Oct 26}, pages = {1171-8}, abstract = {

Imaging fast cellular dynamics across large specimens requires high resolution in all dimensions, high imaging speeds, good physical coverage and low photo-damage. To meet these requirements, we developed isotropic multiview (IsoView) light-sheet microscopy, which rapidly images large specimens via simultaneous light-sheet illumination and fluorescence detection along four orthogonal directions. Combining these four views by means of high-throughput multiview deconvolution yields images with high resolution in all three dimensions. We demonstrate whole-animal functional imaging of Drosophila larvae at a spatial resolution of 1.1-2.5 μm and temporal resolution of 2 Hz for several hours. We also present spatially isotropic whole-brain functional imaging in Danio rerio larvae and spatially isotropic multicolor imaging of fast cellular dynamics across gastrulating Drosophila embryos. Compared with conventional light-sheet microscopy, IsoView microscopy improves spatial resolution at least sevenfold and decreases resolution anisotropy at least threefold. Compared with existing high-resolution light-sheet techniques, IsoView microscopy effectively doubles the penetration depth and provides subsecond temporal resolution for specimens 400-fold larger than could previously be imaged.

}, doi = {10.1038/nmeth.3632}, author = {Chhetri, Raghav K and Amat, Fernando and Wan, Yinan and H{\"o}ckendorf, Burkhard and Lemon, William C and Keller, Philipp J} } @article {45058, title = {Fast, accurate reconstruction of cell lineages from large-scale fluorescence microscopy data.}, journal = {Nature Methods}, volume = {11}, year = {2014}, month = {2014 Jul 20}, pages = {951-8}, abstract = {

The comprehensive reconstruction of cell lineages in complex multicellular organisms is a central goal of developmental biology. We present an open-source computational framework for the segmentation and tracking of cell nuclei with high accuracy and speed. We demonstrate its (i) generality by reconstructing cell lineages in four-dimensional, terabyte-sized image data sets of fruit fly, zebrafish and mouse embryos acquired with three types of fluorescence microscopes, (ii) scalability by analyzing advanced stages of development with up to 20,000 cells per time point at 26,000 cells min(-1) on a single computer workstation and (iii) ease of use by adjusting only two parameters across all data sets and providing visualization and editing tools for efficient data curation. Our approach achieves on average 97.0\% linkage accuracy across all species and imaging modalities. Using our system, we performed the first cell lineage reconstruction of early Drosophila melanogaster nervous system development, revealing neuroblast dynamics throughout an entire embryo.

}, issn = {1548-7105}, doi = {10.1038/nmeth.3036}, author = {Amat, Fernando and Lemon, William and Mossing, Daniel P and McDole, Katie and Wan, Yinan and Branson, Kristin and Myers, Eugene W and Keller, Philipp J} }