Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Chun Yee, Lim"'
Autor:
Xincen Duan, Minglong Zhang, Yan Liu, Wenbo Zheng, Chun Yee Lim, Sollip Kim, Tze Ping Loh, Wei Guo, Rui Zhou, Badrick, Tony
Publikováno v:
Annals of Laboratory Medicine; Sep2024, Vol. 44 Issue 5, p385-391, 7p
Publikováno v:
Pathology. 55:525-530
Publikováno v:
Critical Reviews in Clinical Laboratory Sciences. :1-16
Publikováno v:
Clinical Biochemistry. 114:86-94
Autor:
Qirong Xiong, Chun Yee Lim, Jinghua Ren, Jiajing Zhou, Kanyi Pu, Mary B. Chan-Park, Hui Mao, Yee Cheong Lam, Hongwei Duan
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-11 (2018)
Microfluidic platforms are an attractive setup for performing clinical tests but integrated liquid mixing and bioseparation is difficult at small scales. Here Xiong et al. propose magnetic nanochains which can stir the solution and capture agents and
Externí odkaz:
https://doaj.org/article/333fcef467d44d239008b069dcba679d
Autor:
Wan Ling, Cheng, Corey, Markus, Chun Yee, Lim, Rui Zhen, Tan, Sunil Kumar, Sethi, Tze Ping, Loh
Publikováno v:
Annals of Laboratory Medicine. 43:5-18
Calibration is a critical component for the reliability, accuracy, and precision of mass spectrometry measurements. Optimal practice in the construction, evaluation, and implementation of a new calibration curve is often underappreciated. This system
Publikováno v:
Annals of Laboratory Medicine. 42:597-601
This study describes an objective approach to deriving the clinical performance of autoverification rules to inform laboratory practice when implementing them. Anonymized historical laboratory data for 12 biochemistry measurands were collected and Bo
Publikováno v:
Clinica Chimica Acta. 534:29-34
We investigate the simulated impact of varying sample size and replicate number using ordinary least squares (OLS) and Deming regression (DR) in both weighted and unweighted forms, when applied to paired measurements in lot-to-lot verification.Simula
Publikováno v:
Biochemia Medica. Jun2021, Vol. 31 Issue 2, p1-11. 11p.
Publikováno v:
Clinical Chemistry and Laboratory Medicine (CCLM). 60:1175-1185
Objectives Detection of between-lot reagent bias is clinically important and can be assessed by application of regression-based statistics on several paired measurements obtained from the existing and new candidate lot. Here, the bias detection capab