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Doppler LIDAR Measurement of Wind in the Stratosphere
Jihui Dong,Hyunki Cha,김덕현,Sung Hoon Baik,Guocheng Wang,Lei Tang,Zhifeng Shu,Wenjing Xu,Dongdong Hu,Dongsong Sun 한국광학회 2010 Current Optics and Photonics Vol.14 No.3
A mobile direct detection Doppler LIDAR based on molecular backscattering for measurement of wind in the stratosphere has been developed in Hefei, China. First, the principle of wind measurement with direct detection Doppler LIDAR is presented. Then the configuration of the LIDAR system is described. Finally, the primary experimental results are provided and analyzed. The results indicate that the detection range of the designed Doppler LIDAR reached 50 km altitude, and there is good consistency between the molecular Doppler wind LIDAR(DWL) and the wind profile radar(WPR) in the low troposphere.
A newly developed capture-based sequencing panel for genomic assay of lung cancer
Sun‑Wha Im,Jeesoo Chae,Se Song Jang,Jaeyong Choi,Jihui Yun,차수진,Nak‑Jung Kwon,Yoon Kyung Jeon,Yoohwa Hwang,Miso Kim,Tae Min Kim,Dong‑Wan Kim,Jong‑Il Kim,Young Tae Kim 한국유전학회 2020 Genes & Genomics Vol.42 No.7
Background The increase in genetic alterations targeted by specific chemotherapy in lung cancer has led to the need for universal use of more comprehensive genetic testing, which has highlighted the development of a lung cancer diagnostic panel using next-generation sequencing. Objective We developed a hybridization capture-based massively parallel sequencing assay named Friendly, Integrated, Research-based, Smart and Trustworthy (FIRST)-lung cancer panel (LCP), and evaluated its performance. Methods FIRST-LCP comprises 64 lung cancer-related genes to test for various kinds of genetic alterations including single nucleotide variations (SNVs), insertions and deletions (indels), copy number variations (CNVs), and structural variations. To assess the performance of FIRST-LCP, we compiled test sets using HapMap samples or tumor cell lines with disclosed genetic information, and also tested our clinical lung cancer samples whose genetic alterations were known by conventional methods. Results FIRST-LCP accomplished high sensitivity (99.4%) and specificity (100%) of the detection of SNVs. High precision was also achieved, with intra- or inter-run concordance rate of 0.99, respectively. FIRST-LCP detected indels and CNVs close to the expected allele frequency and magnitude, respectively. Tests with samples from lung cancer patients also identified all SNVs, indels and fusions. Conclusion Based on the current state of the art, continuous application of the panel design and analysis pipeline following up-to-date knowledge could ensure precision medicine for lung cancer patients.