@article{13471,
  abstract     = {We perform an extensive numerical study of the evolution of massive binary systems to predict the peculiar velocities that stars obtain when their companion collapses and disrupts the system. Our aim is to (i) identify which predictions are robust against model uncertainties and assess their implications, (ii) investigate which physical processes leave a clear imprint and may therefore be constrained observationally, and (iii) provide a suite of publicly available model predictions to allow for the use of kinematic constraints from the Gaia mission. We find that 22+26−8% of all massive binary systems merge prior to the first core-collapse in the system. Of the remainder, 86+11−9% become unbound because of the core-collapse. Remarkably, this rarely produces runaway stars (observationally defined as stars with velocities above 30 km s−1). These are outnumbered by more than an order of magnitude by slower unbound companions, or “walkaway stars”. This is a robust outcome of our simulations and is due to the reversal of the mass ratio prior to the explosion and widening of the orbit, as we show analytically and numerically. For stars more massive than 15 M⊙, we estimate that 10+5−8% are walkaways and only 0.5+1.0−0.4% are runaways, nearly all of which have accreted mass from their companion. Our findings are consistent with earlier studies; however, the low runaway fraction we find is in tension with observed fractions of about 10%. Thus, astrometric data on presently single massive stars can potentially constrain the physics of massive binary evolution. Finally, we show that the high end of the mass distributions of runaway stars is very sensitive to the assumed black hole natal kicks, and we propose this as a potentially stringent test for the explosion mechanism. We also discuss companions remaining bound that can evolve into X-ray and gravitational wave sources.},
  author       = {Renzo, M. and Zapartas, E. and de Mink, S. E. and Götberg, Ylva Louise Linsdotter and Justham, S. and Farmer, R. J. and Izzard, R. G. and Toonen, S. and Sana, H.},
  issn         = {1432-0746},
  journal      = {Astronomy & Astrophysics},
  keywords     = {Space and Planetary Science, Astronomy and Astrophysics},
  publisher    = {EDP Sciences},
  title        = {{Massive runaway and walkaway stars}},
  doi          = {10.1051/0004-6361/201833297},
  volume       = {624},
  year         = {2019},
}

@inproceedings{14190,
  abstract     = {Learning meaningful and compact representations with disentangled semantic
aspects is considered to be of key importance in representation learning. Since
real-world data is notoriously costly to collect, many recent state-of-the-art
disentanglement models have heavily relied on synthetic toy data-sets. In this
paper, we propose a novel data-set which consists of over one million images of
physical 3D objects with seven factors of variation, such as object color,
shape, size and position. In order to be able to control all the factors of
variation precisely, we built an experimental platform where the objects are
being moved by a robotic arm. In addition, we provide two more datasets which
consist of simulations of the experimental setup. These datasets provide for
the first time the possibility to systematically investigate how well different
disentanglement methods perform on real data in comparison to simulation, and
how simulated data can be leveraged to build better representations of the real
world. We provide a first experimental study of these questions and our results
indicate that learned models transfer poorly, but that model and hyperparameter
selection is an effective means of transferring information to the real world.},
  author       = {Gondal, Muhammad Waleed and Wüthrich, Manuel and Miladinović, Đorđe and Locatello, Francesco and Breidt, Martin and Volchkov, Valentin and Akpo, Joel and Bachem, Olivier and Schölkopf, Bernhard and Bauer, Stefan},
  booktitle    = {Advances in Neural Information Processing Systems},
  isbn         = {9781713807933},
  location     = {Vancouver, Canada},
  title        = {{On the transfer of inductive bias from simulation to the real world: a new disentanglement dataset}},
  volume       = {32},
  year         = {2019},
}

@article{14299,
  abstract     = {DNA origami nano-objects are usually designed around generic single-stranded “scaffolds”. Many properties of the target object are determined by details of those generic scaffold sequences. Here, we enable designers to fully specify the target structure not only in terms of desired 3D shape but also in terms of the sequences used. To this end, we built design tools to construct scaffold sequences de novo based on strand diagrams, and we developed scalable production methods for creating design-specific scaffold strands with fully user-defined sequences. We used 17 custom scaffolds having different lengths and sequence properties to study the influence of sequence redundancy and sequence composition on multilayer DNA origami assembly and to realize efficient one-pot assembly of multiscaffold DNA origami objects. Furthermore, as examples for functionalized scaffolds, we created a scaffold that enables direct, covalent cross-linking of DNA origami via UV irradiation, and we built DNAzyme-containing scaffolds that allow postfolding DNA origami domain separation.},
  author       = {FAS, Engelhardt and Praetorius, Florian M and Wachauf, CH and Brüggenthies, G and Kohler, F and Kick, B and Kadletz, KL and Pham, PN and Behler, KL and Gerling, T and Dietz, H},
  issn         = {1936-086x},
  journal      = {ACS Nano},
  number       = {5},
  pages        = {5015--5027},
  publisher    = {ACS Publications},
  title        = {{Custom-size, functional, and durable DNA origami with design-specific scaffolds}},
  doi          = {10.1021/acsnano.9b01025},
  volume       = {13},
  year         = {2019},
}

@inproceedings{18257,
  abstract     = {We consider the problem of localizing relevant subsets of non-rigid geometric shapes given only a partial 3D query as the input. Such problems arise in several challenging tasks in 3D vision and graphics, including partial shape similarity, retrieval, and non-rigid correspondence. We phrase the problem as one of alignment between short sequences of eigenvalues of basic differential operators, which are constructed upon a scalar function defined on the 3D surfaces. Our method therefore seeks for a scalar function that entails this alignment. Differently from existing approaches, we do not require solving for a correspondence between the query and the target, therefore greatly simplifying the optimization process; our core technique is also descriptor-free, as it is driven by the geometry of the two objects as encoded in their operator spectra. We further show that our spectral alignment algorithm provides a remarkably simple alternative to the recent shape-from-spectrum reconstruction approaches. For both applications, we demonstrate improvement over the state-of-the-art either in terms of accuracy or computational cost.},
  author       = {Rampini, Arianna and Tallini, Irene and Ovsjanikov, Maks and Bronstein, Alexander and Rodola, Emanuele},
  booktitle    = {2019 International Conference on 3D Vision (3DV)},
  isbn         = {9781728131320},
  issn         = {2475-7888},
  location     = {Quebec City, QC, Canada},
  publisher    = {IEEE},
  title        = {{Correspondence-free region localization for partial shape similarity via Hamiltonian spectrum alignment}},
  doi          = {10.1109/3dv.2019.00014},
  year         = {2019},
}

@article{18263,
  abstract     = {We consider the tasks of representing, analysing and manipulating maps between shapes. We model maps as densities over the product manifold of the input shapes; these densities can be treated as scalar functions and therefore are manipulable using the language of signal processing on manifolds. Being a manifold itself, the product space endows the set of maps with a geometry of its own, which we exploit to define map operations in the spectral domain; we also derive relationships with other existing representations (soft maps and functional maps). To apply these ideas in practice, we discretize product manifolds and their Laplace–Beltrami operators, and we introduce localized spectral analysis of the product manifold as a novel tool for map processing. Our framework applies to maps defined between and across 2D and 3D shapes without requiring special adjustment, and it can be implemented efficiently with simple operations on sparse matrices.},
  author       = {Rodolà, E. and Lähner, Z. and Bronstein, Alexander and Bronstein, M. M. and Solomon, J.},
  issn         = {1467-8659},
  journal      = {Computer Graphics Forum},
  number       = {1},
  pages        = {678--689},
  publisher    = {Wiley},
  title        = {{Functional maps representation on product manifolds}},
  doi          = {10.1111/cgf.13598},
  volume       = {38},
  year         = {2019},
}

@inproceedings{18268,
  abstract     = {The registration of surfaces with non-rigid deformation, especially non-isometric deformations, is a challenging problem. When applying such techniques to real scans, the problem is compounded by topological and geometric inconsistencies between shapes. In this paper, we capture a benchmark dataset of scanned 3D shapes undergoing various controlled deformations (articulating, bending, stretching and topologically changing), along with ground truth correspondences. With the aid of this tiered benchmark of increasingly challenging real scans, we explore this problem and investigate how robust current state-of- the-art methods perform in different challenging registration and correspondence scenarios. We discover that changes in topology is a challenging problem for some methods and that machine learning-based approaches prove to be more capable of handling non-isometric deformations on shapes that are moderately similar to the training set.},
  author       = {Dyke, R.M. and Stride, C. and Lai, Y.-K. and Rosin, P.L. and Aubry, M. and Boyarski, A. and Bronstein, Alexander and Bronstein, M.M. and Cremers, D. and Fisher, M. and Groueix, T. and Guo, D. and Kim, V.G. and Kimmel, R. and Lähner, Z. and Li, K. and Litany, O. and Remez, T. and Rodola, E. and Russell, B.C. and Sahillioglu, Y. and Slossberg, R. and Tam, G.K.L. and Vestner, M. and Wu, Z. and Yang, J.},
  booktitle    = {Eurographics Workshop on 3D Object Retrieval},
  issn         = {1997-0471},
  publisher    = {The Eurographics Association},
  title        = {{Shape correspondence with isometric and non-isometric deformations}},
  doi          = {10.2312/3DOR.20191069},
  year         = {2019},
}

@article{19818,
  abstract     = {We revisit the enduring problem of the 2×2×2 charge density wave (CDW) order in TiSe2, utilizing photon energy-dependent angle-resolved photoemission spectroscopy to probe the full three-dimensional high- and low-temperature electronic structure. Our measurements demonstrate how a mismatch of dimensionality between the 3D conduction bands and the quasi-2D valence bands in this system leads to a hybridization that is strongly 𝑘𝑧 dependent. While such a momentum-selective coupling can provide the energy gain required to form the CDW, we show how additional “passenger” states remain, which couple only weakly to the CDW and thus dominate the low-energy physics in the ordered phase of TiSe2.},
  author       = {Watson, Matthew D. and Clark, Oliver J. and Mazzola, Federico and Marković, Igor and Sunko, Veronika and Kim, Timur K. and Rossnagel, Kai and King, Philip D. C.},
  issn         = {1079-7114},
  journal      = {Physical Review Letters},
  number       = {7},
  publisher    = {American Physical Society},
  title        = {{Orbital- and 𝑘𝑧-selective hybridization of Se 4⁢𝑝 and Ti 3⁢𝑑 states in the charge density wave phase of TiSe2}},
  doi          = {10.1103/physrevlett.122.076404},
  volume       = {122},
  year         = {2019},
}

@inbook{19987,
  abstract     = {These lecture notes are based on Yang’s talk at the MATRIX program Geometric R-Matrices: from Geometry to Probability, at the University of Melbourne, Dec. 18–22, 2017, and Zhao’s talk at Perimeter Institute for Theoretical Physics in January 2018. We give an introductory survey of the results in Yang and Zhao (Quiver varieties and elliptic quantum groups, 2017. arxiv1708.01418). We discuss a sheafified elliptic quantum group associated to any symmetric Kac-Moody Lie algebra. The sheafification is obtained by applying the equivariant elliptic cohomological theory to the moduli space of representations of a preprojective algebra. By construction, the elliptic quantum group naturally acts on the equivariant elliptic cohomology of Nakajima quiver varieties. As an application, we obtain a relation between the sheafified elliptic quantum group and the global affine Grassmannian over an elliptic curve.},
  author       = {Yang, Yaping and Zhao, Gufang},
  booktitle    = {2017 MATRIX Annals},
  isbn         = {9783030041601},
  issn         = {2523-305X},
  pages        = {675--691},
  publisher    = {Springer International Publishing},
  title        = {{How to Sheafify an Elliptic Quantum Group}},
  doi          = {10.1007/978-3-030-04161-8_54},
  volume       = {2},
  year         = {2019},
}

@article{11059,
  abstract     = {The genome is packaged and organized nonrandomly within the 3D space of the nucleus to promote efficient gene expression and to faithfully maintain silencing of heterochromatin. The genome is enclosed within the nucleus by the nuclear envelope membrane, which contains a set of proteins that actively participate in chromatin organization and gene regulation. Technological advances are providing views of genome organization at unprecedented resolution and are beginning to reveal the ways that cells co-opt the structures of the nuclear periphery for nuclear organization and gene regulation. These genome regulatory roles of proteins of the nuclear periphery have important influences on development, disease and ageing.},
  author       = {Buchwalter, Abigail and Kaneshiro, Jeanae M. and HETZER, Martin W},
  issn         = {1471-0064},
  journal      = {Nature Reviews Genetics},
  keywords     = {Genetics (clinical), Genetics, Molecular Biology},
  number       = {1},
  pages        = {39--50},
  publisher    = {Springer Nature},
  title        = {{Coaching from the sidelines: The nuclear periphery in genome regulation}},
  doi          = {10.1038/s41576-018-0063-5},
  volume       = {20},
  year         = {2019},
}

@article{10354,
  abstract     = {Background
ESCRT-III is a membrane remodelling filament with the unique ability to cut membranes from the inside of the membrane neck. It is essential for the final stage of cell division, the formation of vesicles, the release of viruses, and membrane repair. Distinct from other cytoskeletal filaments, ESCRT-III filaments do not consume energy themselves, but work in conjunction with another ATP-consuming complex. Despite rapid progress in describing the cell biology of ESCRT-III, we lack an understanding of the physical mechanisms behind its force production and membrane remodelling.
Results
Here we present a minimal coarse-grained model that captures all the experimentally reported cases of ESCRT-III driven membrane sculpting, including the formation of downward and upward cones and tubules. This model suggests that a change in the geometry of membrane bound ESCRT-III filaments—from a flat spiral to a 3D helix—drives membrane deformation. We then show that such repetitive filament geometry transitions can induce the fission of cargo-containing vesicles.
Conclusions
Our model provides a general physical mechanism that explains the full range of ESCRT-III-dependent membrane remodelling and scission events observed in cells. This mechanism for filament force production is distinct from the mechanisms described for other cytoskeletal elements discovered so far. The mechanistic principles revealed here suggest new ways of manipulating ESCRT-III-driven processes in cells and could be used to guide the engineering of synthetic membrane-sculpting systems.},
  author       = {Harker-Kirschneck, Lena and Baum, Buzz and Šarić, Anđela},
  issn         = {1741-7007},
  journal      = {BMC Biology},
  keywords     = {cell biology},
  number       = {1},
  publisher    = {Springer Nature},
  title        = {{Changes in ESCRT-III filament geometry drive membrane remodelling and fission in silico}},
  doi          = {10.1186/s12915-019-0700-2},
  volume       = {17},
  year         = {2019},
}

@article{17603,
  abstract     = {Weak gravitational lensing is one of the most promising cosmological probes of the late universe. Several large ongoing (DES, KiDS, HSC) and planned (LSST, Euclid, WFIRST) astronomical surveys attempt to collect even deeper and larger scale data on weak lensing. Due to gravitational collapse, the distribution of dark matter is non-Gaussian on small scales. However, observations are typically evaluated through the two-point correlation function of galaxy shear, which does not capture non-Gaussian features of the lensing maps. Previous studies attempted to extract non-Gaussian information from weak lensing observations through several higher order statistics such as the three-point correlation function, peak counts, or Minkowski functionals. Deep convolutional neural networks (CNN) emerged in the field of computer vision with tremendous success, and they offer a new and very promising framework to extract information from 2D or 3D astronomical data sets, confirmed by recent studies on weak lensing. We show that a CNN is able to yield significantly stricter constraints of (σ8, Ωm) cosmological parameters than the power spectrum using convergence maps generated by full N-body simulations and ray-tracing, at angular scales and shape noise levels relevant for future observations. In a scenario mimicking LSST or Euclid, the CNN yields 2.4–2.8 times smaller credible contours than the power spectrum, and 3.5–4.2 times smaller at noise levels corresponding to a deep space survey such as WFIRST. We also show that at shape noise levels achievable in future space surveys the CNN yields 1.4–2.1 times smaller contours than peak counts, a higher order statistic capable of extracting non-Gaussian information from weak lensing maps.},
  author       = {Ribli, Dezső and Pataki, Bálint Ármin and Zorrilla Matilla, José Manuel and Hsu, Daniel and Haiman, Zoltán and Csabai, István},
  issn         = {0035-8711},
  journal      = {Monthly Notices of the Royal Astronomical Society},
  number       = {2},
  pages        = {1843--1860},
  publisher    = {Oxford University Press},
  title        = {{Weak lensing cosmology with convolutional neural networks on noisy data}},
  doi          = {10.1093/mnras/stz2610},
  volume       = {490},
  year         = {2019},
}

@inproceedings{9261,
  abstract     = {Bending-active structures are able to efficiently produce complex curved shapes starting from flat panels. The desired deformation of the panels derives from the proper selection of their elastic properties. Optimized panels, called FlexMaps, are designed such that, once they are bent and assembled, the resulting static equilibrium configuration matches a desired input 3D shape. The FlexMaps elastic properties are controlled by locally varying spiraling geometric mesostructures, which are optimized in size and shape to match the global curvature (i.e., bending requests) of the target shape. The design pipeline starts from a quad mesh representing the input 3D shape, which defines the edge size and the total amount of spirals: every quad will embed one spiral. Then, an optimization algorithm tunes the geometry of the spirals by using a simplified pre-computed rod model. This rod model is derived from a non-linear regression algorithm which approximates the non-linear behavior of solid FEM spiral models subject to hundreds of load combinations. This innovative pipeline has been applied to the project of a lightweight plywood pavilion named FlexMaps Pavilion, which is a single-layer piecewise twisted arc that fits a bounding box of 3.90x3.96x3.25 meters.},
  author       = {Laccone, Francesco and Malomo, Luigi and Perez Rodriguez, Jesus and Pietroni, Nico and Ponchio, Federico and Bickel, Bernd and Cignoni, Paolo},
  booktitle    = {IASS Symposium 2019 - 60th Anniversary Symposium of the International Association for Shell and Spatial Structures; Structural Membranes 2019 - 9th International Conference on Textile Composites and Inflatable Structures, FORM and FORCE},
  isbn         = {9788412110104},
  issn         = {2518-6582},
  location     = {Barcelona, Spain},
  pages        = {509--515},
  publisher    = {International Center for Numerical Methods in Engineering},
  title        = {{FlexMaps Pavilion: A twisted arc made of mesostructured flat flexible panels}},
  year         = {2019},
}

@inbook{5793,
  abstract     = {The transcription coactivator, Yes-associated protein (YAP), which is a nuclear effector of the Hippo signaling pathway, has been shown to be a mechano-transducer. By using mutant fish and human 3D spheroids, we have recently demonstrated that YAP is also a mechano-effector. YAP functions in three-dimensional (3D) morphogenesis of organ and global body shape by controlling actomyosin-mediated tissue tension. In this chapter, we present a platform that links the findings in fish embryos with human cells. The protocols for analyzing tissue tension-mediated global body shape/organ morphogenesis in vivo and ex vivo using medaka fish embryos and in vitro using human cell spheroids represent useful tools for unraveling the molecular mechanisms by which YAP functions in regulating global body/organ morphogenesis.},
  author       = {Asaoka, Yoichi and Morita, Hitoshi and Furumoto, Hiroko and Heisenberg, Carl-Philipp J and Furutani-Seiki, Makoto},
  booktitle    = {The hippo pathway},
  editor       = {Hergovich, Alexander},
  isbn         = {978-1-4939-8909-6},
  pages        = {167--181},
  publisher    = {Springer},
  title        = {{Studying YAP-mediated 3D morphogenesis using fish embryos and human spheroids}},
  doi          = {10.1007/978-1-4939-8910-2_14},
  volume       = {1893},
  year         = {2019},
}

@article{6088,
  abstract     = {P-Glycoprotein (ABCB1) and breast cancer resistance protein (ABCG2) are two efflux transporters at the blood–brain barrier (BBB), which effectively restrict brain distribution of diverse drugs, such as tyrosine kinase inhibitors. There is a crucial need for pharmacological ABCB1 and ABCG2 inhibition protocols for a more effective treatment of brain diseases. In the present study, seven marketed drugs (osimertinib, erlotinib, nilotinib, imatinib, lapatinib, pazopanib, and cyclosporine A) and one nonmarketed drug (tariquidar), with known in vitro ABCB1/ABCG2 inhibitory properties, were screened for their inhibitory potency at the BBB in vivo. Positron emission tomography (PET) using the model ABCB1/ABCG2 substrate [11C]erlotinib was performed in mice. Tested inhibitors were administered as i.v. bolus injections at 30 min before the start of the PET scan, followed by a continuous i.v. infusion for the duration of the PET scan. Five of the tested drugs increased total distribution volume of [11C]erlotinib in the brain (VT,brain) compared to vehicle-treated animals (tariquidar, + 69%; erlotinib, + 19% and +23% for the 21.5 mg/kg and the 43 mg/kg dose, respectively; imatinib, + 22%; lapatinib, + 25%; and cyclosporine A, + 49%). For all drugs, increases in [11C]erlotinib brain distribution were lower than in Abcb1a/b(−/−)Abcg2(−/−) mice (+149%), which suggested that only partial ABCB1/ABCG2 inhibition was reached at the mouse BBB. The plasma concentrations of the tested drugs at the time of the PET scan were higher than clinically achievable plasma concentrations. Some of the tested drugs led to significant increases in blood radioactivity concentrations measured at the end of the PET scan (erlotinib, + 103% and +113% for the 21.5 mg/kg and the 43 mg/kg dose, respectively; imatinib, + 125%; and cyclosporine A, + 101%), which was most likely caused by decreased hepatobiliary excretion of radioactivity. Taken together, our data suggest that some marketed tyrosine kinase inhibitors may be repurposed to inhibit ABCB1 and ABCG2 at the BBB. From a clinical perspective, moderate increases in brain delivery despite the administration of high i.v. doses as well as peripheral drug–drug interactions due to transporter inhibition in clearance organs question the translatability of this concept.},
  author       = {Traxl, Alexander and Mairinger, Severin and Filip, Thomas and Sauberer, Michael and Stanek, Johann and Poschner, Stefan and Jäger, Walter and Zoufal, Viktoria and Novarino, Gaia and Tournier, Nicolas and Bauer, Martin and Wanek, Thomas and Langer, Oliver},
  journal      = {Molecular Pharmaceutics},
  number       = {3},
  pages        = {1282--1293},
  publisher    = {American Chemical Society},
  title        = {{Inhibition of ABCB1 and ABCG2 at the mouse blood-brain barrier with marketed drugs to improve brain delivery of the model ABCB1/ABCG2 substrate [11C]erlotinib}},
  doi          = {10.1021/acs.molpharmaceut.8b01217},
  volume       = {16},
  year         = {2019},
}

@inproceedings{6163,
  abstract     = {We propose a new non-orthogonal basis to express the 3D Euclidean space in terms of a regular grid. Every grid point, each represented by integer 3-coordinates, corresponds to rhombic dodecahedron centroid. Rhombic dodecahedron is a space filling polyhedron which represents the close packing of spheres in 3D space and the Voronoi structures of the face centered cubic (FCC) lattice. In order to illustrate the interest of the new coordinate system, we propose the characterization of 3D digital plane with its topological features, such as the interrelation between the thickness of the digital plane and the separability constraint we aim to obtain. A characterization of a 3D digital sphere with relevant topological features is proposed as well with the help of a 48 symmetry that comes with the new coordinate system.},
  author       = {Biswas, Ranita and Largeteau-Skapin, Gaëlle and Zrour, Rita and Andres, Eric},
  booktitle    = {21st IAPR International Conference on Discrete Geometry for Computer Imagery},
  isbn         = {978-3-6624-6446-5},
  issn         = {0302-9743},
  location     = {Marne-la-Vallée, France},
  pages        = {27--37},
  publisher    = {Springer Berlin Heidelberg},
  title        = {{Rhombic dodecahedron grid—coordinate system and 3D digital object definitions}},
  doi          = {10.1007/978-3-030-14085-4_3},
  volume       = {11414},
  year         = {2019},
}

@article{6343,
  abstract     = {Cryo-electron tomography (cryo-ET) provides unprecedented insights into the molecular constituents of biological environments. In combination with an image processing method called subtomogram averaging (STA), detailed 3D structures of biological molecules can be obtained in large, irregular macromolecular assemblies or in situ, without the need for purification. The contextual meta-information these methods also provide, such as a protein’s location within its native environment, can then be combined with functional data. This allows the derivation of a detailed view on the physiological or pathological roles of proteins from the molecular to cellular level. Despite their tremendous potential in in situ structural biology, cryo-ET and STA have been restricted by methodological limitations, such as the low obtainable resolution. Exciting progress now allows one to reach unprecedented resolutions in situ, ranging in optimal cases beyond the nanometer barrier. Here, I review current frontiers and future challenges in routinely determining high-resolution structures in in situ environments using cryo-ET and STA.},
  author       = {Schur, Florian KM},
  issn         = {0959-440X},
  journal      = {Current Opinion in Structural Biology},
  number       = {10},
  pages        = {1--9},
  publisher    = {Elsevier},
  title        = {{Toward high-resolution in situ structural biology with cryo-electron tomography and subtomogram averaging}},
  doi          = {10.1016/j.sbi.2019.03.018},
  volume       = {58},
  year         = {2019},
}

@article{6513,
  abstract     = {Adult intestinal stem cells are located at the bottom of crypts of Lieberkühn, where they express markers such as LGR5 1,2 and fuel the constant replenishment of the intestinal epithelium1. Although fetal LGR5-expressing cells can give rise to adult intestinal stem cells3,4, it remains unclear whether this population in the patterned epithelium represents unique intestinal stem-cell precursors. Here we show, using unbiased quantitative lineage-tracing approaches, biophysical modelling and intestinal transplantation, that all cells of the mouse intestinal epithelium—irrespective of their location and pattern of LGR5 expression in the fetal gut tube—contribute actively to the adult intestinal stem cell pool. Using 3D imaging, we find that during fetal development the villus undergoes gross remodelling and fission. This brings epithelial cells from the non-proliferative villus into the proliferative intervillus region, which enables them to contribute to the adult stem-cell niche. Our results demonstrate that large-scale remodelling of the intestinal wall and cell-fate specification are closely linked. Moreover, these findings provide a direct link between the observed plasticity and cellular reprogramming of differentiating cells in adult tissues following damage5,6,7,8,9, revealing that stem-cell identity is an induced rather than a hardwired property.},
  author       = {Guiu, Jordi and Hannezo, Edouard B and Yui, Shiro and Demharter, Samuel and Ulyanchenko, Svetlana and Maimets, Martti and Jørgensen, Anne and Perlman, Signe and Lundvall, Lene and Mamsen, Linn Salto and Larsen, Agnete and Olesen, Rasmus H. and Andersen, Claus Yding and Thuesen, Lea Langhoff and Hare, Kristine Juul and Pers, Tune H. and Khodosevich, Konstantin and Simons, Benjamin D. and Jensen, Kim B.},
  issn         = {1476-4687},
  journal      = {Nature},
  pages        = {107--111},
  publisher    = {Springer Nature},
  title        = {{Tracing the origin of adult intestinal stem cells}},
  doi          = {10.1038/s41586-019-1212-5},
  volume       = {570},
  year         = {2019},
}

@article{6660,
  abstract     = {Commercially available full-color 3D printing allows for detailed control of material deposition in a volume, but an exact reproduction of a target surface appearance is hampered by the strong subsurface scattering that causes nontrivial volumetric cross-talk at the print surface. Previous work showed how an iterative optimization scheme based on accumulating absorptive materials at the surface can be used to find a volumetric distribution of print materials that closely approximates a given target appearance.

In this work, we first revisit the assumption that pushing the absorptive materials to the surface results in minimal volumetric cross-talk. We design a full-fledged optimization on a small domain for this task and confirm this previously reported heuristic. Then, we extend the above approach that is critically limited to color reproduction on planar surfaces, to arbitrary 3D shapes. Our method enables high-fidelity color texture reproduction on 3D prints by effectively compensating for internal light scattering within arbitrarily shaped objects. In addition, we propose a content-aware gamut mapping that significantly improves color reproduction for the pathological case of thin geometric features. Using a wide range of sample objects with complex textures and geometries, we demonstrate color reproduction whose fidelity is superior to state-of-the-art drivers for color 3D printers.},
  author       = {Sumin, Denis and Weyrich, Tim and Rittig, Tobias and Babaei, Vahid and Nindel, Thomas and Wilkie, Alexander and Didyk, Piotr and Bickel, Bernd and Křivánek, Jaroslav and Myszkowski, Karol},
  issn         = {0730-0301},
  journal      = {ACM Transactions on Graphics},
  number       = {4},
  publisher    = {ACM},
  title        = {{Geometry-aware scattering compensation for 3D printing}},
  doi          = {10.1145/3306346.3322992},
  volume       = {38},
  year         = {2019},
}

@article{6896,
  abstract     = {Until recently, a great amount of brain studies have been conducted in human post mortem tissues, cell lines and model organisms. These researches provided useful insights regarding cell-cell interactions occurring in the brain. However, such approaches suffer from technical limitations and inaccurate modeling of the tissue 3D cytoarchitecture. Importantly, they might lack a human genetic background essential for disease modeling. With the development of protocols to generate human cerebral organoids, we are now closer to reproducing the early stages of human brain development in vitro. As a result, more relevant cell-cell interaction studies can be conducted.

In this review, we discuss the advantages of 3D cultures over 2D in modulating brain cell-cell interactions during physiological and pathological development, as well as the progress made in developing organoids in which neurons, macroglia, microglia and vascularization are present. Finally, we debate the limitations of those models and possible future directions.},
  author       = {Oliveira, Bárbara and Yahya, Aysan Çerağ and Novarino, Gaia},
  issn         = {1872-6240},
  journal      = {Brain Research},
  publisher    = {Elsevier},
  title        = {{Modeling cell-cell interactions in the brain using cerebral organoids}},
  doi          = {10.1016/j.brainres.2019.146458},
  volume       = {1724},
  year         = {2019},
}

@article{7009,
  abstract     = {Cell migration is essential for physiological processes as diverse as development, immune defence and wound healing. It is also a hallmark of cancer malignancy. Thousands of publications have elucidated detailed molecular and biophysical mechanisms of cultured cells migrating on flat, 2D substrates of glass and plastic. However, much less is known about how cells successfully navigate the complex 3D environments of living tissues. In these more complex, native environments, cells use multiple modes of migration, including mesenchymal, amoeboid, lobopodial and collective, and these are governed by the local extracellular microenvironment, specific modalities of Rho GTPase signalling and non- muscle myosin contractility. Migration through 3D environments is challenging because it requires the cell to squeeze through complex or dense extracellular structures. Doing so requires specific cellular adaptations to mechanical features of the extracellular matrix (ECM) or its remodelling. In addition, besides navigating through diverse ECM environments and overcoming extracellular barriers, cells often interact with neighbouring cells and tissues through physical and signalling interactions. Accordingly, cells need to call on an impressively wide diversity of mechanisms to meet these challenges. This Review examines how cells use both classical and novel mechanisms of locomotion as they traverse challenging 3D matrices and cellular environments. It focuses on principles rather than details of migratory mechanisms and draws comparisons between 1D, 2D and 3D migration.},
  author       = {Yamada, KM and Sixt, Michael K},
  issn         = {1471-0080},
  journal      = {Nature Reviews Molecular Cell Biology},
  number       = {12},
  pages        = {738–752},
  publisher    = {Springer Nature},
  title        = {{Mechanisms of 3D cell migration}},
  doi          = {10.1038/s41580-019-0172-9},
  volume       = {20},
  year         = {2019},
}

