0428同步年報-2021-全

Facility Status 109 Fig. 5 : (left) Photograph of a sample stage in white beam mode. (right) Photograph of white beam on a screen fixed on the sample stage by a top view camera. The red column indicates the sample stage. will be reopened for testing in March 2022. Meanwhile, the installation of storage system and pre-alignment system of PXM continues. For the TXM beamline branch, all procurement contracts of the optics and its chamber were signed and will be delivered in year 2022. An uncertainty from the pandemic is, however, still widely applicable among most continents; some contractors had already issued a delay of the contract up to half year. All parts of the TXM endstation have already been contracted out and are expected to be finished before May 2022. The TXM endstation is scheduled to be assembled and tested before the end of 2022. Summary The X-ray imaging method is known as the first X-ray technology. With the progress of various technologies in the past century, X-ray imaging technology has shown tremendous progress in the intensity of a light source, speed of image capture, image resolution and detector. The X-ray images that can be processed today are not only 3D, but 4D (time axis), or even more than 5D (energy axis). The processing capability of many data also makes it possible to process tomography data exceeding Terabytes. For 3D tomography, each dimension is about 10 4 pixels, and each pixel is 2 μm, which can cover a range about 2 cm³. Processing of this huge amount of data is currently widely used in biomedical brain imaging and material applications. In addition, due to the increased luminous flux and the advancement of detectors, two-dimensional images can reach more than 60,000 frames per second; the time resolution of three-dimensional tomography can reach 10 times per second. Both in-situ and dynamic experiments will be possible. The fully automated sample exchange system is also expected to provide many rapid tomography services for the scientific and industrial community. It is also the stepping stone for the artificial intelligence. (Reported by Gung-Chian Yin) References 1. G.-C. Yin, M.-T. Tang, Y.-F. Song, F.-R. Chen, K. S. Liang, F. W. Duewer, W. Yun, C-.H. Ko, H.-P. D. Shieh, Appl. Phys. Lett. 88 , 241115 (2006). 2. G.-C. Yin, Y.-F. Song, M.-T. Tang, F.-R. Chen, K. S. Liang, F. W. Duewer, M. Feser, W. Yun, H.-P. D. Shieh, Appl. Phys. Lett. 89 , 221122 (2006). 3. G.-C. Yin, F.-R. Chen, Y. Hwu, H.-P. D. Shieh, K. S. Liang, Appl. Phys. Lett. 90 , 181118 (2007). 4. Y.-T. Chen, T.-Y .Chen, J. Yi, Y. S. Chu, W.-K. Lee, C.-L. Wang, I. M. Kempson, Y. Hwu, V. Gajdosik, G. Margaritondo, Opt Lett. 36 , 1269 (2011). 5. C.-Y. Lee, G.-C. Yin, B.-Y. Chen, M.-Y. Hsu, Synchrotron Radiat. News 34 , 3 (2021).