RESUMEN
Blue-phase liquid crystal (BPLC) is considered as the next-generation liquid crystal display material, but its practical application is seriously affected by a narrow temperature range and a long research period. In this paper, we used inkjet printing technology to prepare BPLC materials with high throughput, and try to use machine vision technology to test BPLC with high throughput. The "standard curve method" for establishing each printing channel and the "vector matching method" for searching the chromaticity value of the minimum distance were proposed to improve the accuracy of inkjet printing BPLC materials. For a large number of sample-phase images, we propose a machine learning method to identify the liquid crystal phase. In this paper, for the first time, the high-throughput preparation and high-throughput detection of 1080 BPLC samples with five common components by a comprehensive experimental method has been successfully realized. The results are helpful to improve the research efficiency of blue-phase materials and provide a theoretical basis and practical guidance for rapid screening of multi-component BPLC materials.
RESUMEN
OBJECTIVE: To evaluate the application of MSCT and post-processing images to fractures of nasal bone in forensic identification. METHODS: 134 cases were examined by thin slice scanning with MSCT and all of the data were sent to workstation for MPR and SSD. The result of MSCT was compared with that of X-ray. RESULTS: There are 55 (41.04%) cases of linear fracture, 46 (34.33%) cases of comminuted fracture, 27 (20.15%) cases of depressed fracture and 6 (4.48%) cases of no fracture in this sample. With X-ray or CR, 48 (35.82%) cases were misdiagnosed or underdiagnosed. 133 (99.25%) cases were confirmed by MSCT. Significance difference was found between X-ray and MSCT (chi2= 45.0816, P<0.001). CONCLUSION: MSCT and post-processing images might be the chief evidence for nasal fractures in forensic identification.