In order to obtain a fundamental understanding of the interplay between charge, spin, orbital and lattice degrees of freedom in magnetic materials and to predict and control their physical properties1,2,3, experimental techniques are required that are capable of accessing local magnetic information with atomic-scale spatial resolution. Here, we show that a combination of electron energy-loss magnetic chiral dichroism4 and chromatic-aberration-corrected transmission electron microscopy, which reduces the focal spread of inelastically scattered electrons by orders of magnitude when compared with the use of spherical aberration correction alone, can achieve atomic-scale imaging of magnetic circular dichroism and provide element-selective orbital and spin magnetic moments atomic plane by atomic plane. This unique capability, which we demonstrate for Sr2FeMoO6, opens the door to local atomic-level studies of spin configurations in a multitude of materials that exhibit different types of magnetic coupling, thereby contributing to a detailed understanding of the physical origins of magnetic properties of materials at the highest spatial resolution.
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This work was supported by the National Key Research and Development Program (2016YFB0700402), the National Natural Science Foundation of China (51671112, 5171101391, 51471096, 11374174, 51390471, 51527803, 51525102, 51390475, 51371102), the National Basic Research Program of China (2015CB921700, 2015CB654902), Tsinghua University (20141081200), National Key Scientific Instruments and Equipment Development Project (2013YQ120353) and the “Strategic Partnership RWTH-Aachen University and Tsinghua University” Program. R.D.-B. is grateful for funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013)/ ERC grant agreement number 320832. This work made use of resources in Forschungszentrum Jülich, Germany and the National Center for Electron Microscopy in Beijing, China. J.R. acknowledges the Swedish Research Council and Göran Gustafsson’s Foundation for financial support. Calculations were performed using the Swedish National Infrastructure for Computing (SNIC) on a Triolith cluster at the National Supercomputer Center (NSC) of Linköping University. L. Houben, C.-L. Jia, M. Lentzen, M. Luysberg, C. B. Boothroyd, A. Schwedt, D. Meertens, M. Kruth, M. Duchamp, E. Kita, H. Yanagihara, P. Ercius, C. Kisielowski, F.-R. Chen, M. Linck, H. Müller and M. Haider are gratefully acknowledged for helpful discussions and assistance.