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024 | 7 | _ | |2 doi |a 10.1002/9783527808465.EMC2016.6191 |
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100 | 1 | _ | |0 P:(DE-Juel1)159136 |a Migunov, Vadim |b 0 |e Corresponding author |
111 | 2 | _ | |a 16th European Microscopy Congress (EMC 2016) |c Lyon |d 2016-08-28 - 2016-09-02 |w France |
245 | _ | _ | |a Electron tomography with sub-5-second temporal resolution for dynamic in situ transmission electron microscopy |
260 | _ | _ | |a Weinheim, Germany |b Wiley-VCH Verlag GmbH & Co. KGaA |c 2016 |
295 | 1 | 0 | |a European Microscopy Congress 2016: Proceedings |
300 | _ | _ | |a 21 - 22 |
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520 | _ | _ | |a Electron tomography (ET) is an important technique for the study of the three dimensional morphology, structure and chemical composition of nanoscale materials in the transmission electron microscope (TEM). Although ET is potentially a powerful tool for in situ three-dimensional TEM studies of catalytic reactions, growth processes, phase transformations, switching mechanisms and defect nucleation, motion and interactions, its application to dynamic experiments has been limited, since typical acquisition times for tilt series are typically tens of minutes or longer [1].We have recently demonstrated the rapid acquisition of a tomographic tilt series comprising approximately 3500 images between +30° and −70° in only 3.5 s, as shown in Fig. 1) [2]. Here, we apply the technique to the three-dimensional imaging of the thermal segregation of an InAs V-shaped nanomembrane [3]. The membrane was heated in situ in an FEI Titan TEM up to a temperature of 420 °C. Changes in membrane morphology were tracked by acquiring images on a Gatan K2-IS camera at 400 frames per second while continuously tilting the specimen between +60° and −65°. Each tilt series (i.e., one rotation in one direction) was acquired in approximately 4.3 s and comprised ~1700 frames. Selected frames are shown in Figs 2 and 3.The reconstruction of time-dependent (four-dimensional) tilt series can be performed using two approaches: i) Reconstruction of each individual tilt series and interpolation between each reconstruction in the time domain, resulting in a time resolution that is limited by the acquisition time for each tilt series (i.e., 4.3 s); ii) Model-based reconstruction, involving tracking of changes between individual frames within each tilt series, resulting in sub-second temporal resolution. We are presently pursuing both approaches.We are grateful to Cory Czarnik and Ana Pakzad from Gatan Inc. for making the K2 IS camera available for the experiments and to the European Research Council for an Advanced Grant. |
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