Animal Use Alternatives ; instrumentation ; Animals ; Rabbits ; Urinalysis ; instrumentation

A new urine analysis core module based on high performance 32-bit microprocessor and high precision color sensor was presented. A novel optical structure and a specific circuit were applied to improve measurement precision and temperature was used to compensate for results in this core module. The information of urine test peice, such as all original data and color RGB value, reflectivity, semi-quantitative level, etc. can be output. The results showed that the measuring precision was about 95% or above with ideal stability and reliability using this presented core module, which can be conveniently applied in various urine analyzers, and can greatly decrease the cost of urine analyzers in development and production.
Color ; Equipment Design ; Microcomputers ; Reproducibility of Results ; Temperature ; Urinalysis ; instrumentation ; methods

BACKGROUND: Microscopic examination of urine sediment is one of the most commonly performed tests in the clinical laboratory. However, manual microscopic sediment examination is labor-intensive, time-consuming and imprecise. In this study, we evaluated the analytical performance and clinical usefulness of a recently introduced image-based automated urinalysis system, Iris iQ200 (Iris Diagnostics, USA). METHODS: We assessed the iQ200 for linearity, precision and carryover rate using patient's samples and quality control materials. On 337 urine samples, urine sediment analyses performed by the iQ200 were compared with manual microscopy results. RESULTS: The iQ200 showed a good linearity (r2>0.99) for all cellular components analyzed. Within-run and total CVs on urine specimens and quality control samples were less than 10% except for within-run CV for the samples with low concentration of the squamous epithelial cells. The carryover rates were 0.21% for RBCs and 1.92% for WBCs. The agreement rates within one grade between the iQ200 and manual microscopy for RBCs, WBCs, and squamous epithelial cells were 93.8%, 94.2% and 96.9%, respectively. CONCLUSIONS: Since the iQ200 showed a reliable analytical performance and good concordance with manual microscopy, it could be useful in the clinical practice as a screening procedure.
Autoanalysis/methods ; Humans ; Quality Control ; Sensitivity and Specificity ; Urinalysis/*instrumentation ; Urine/*cytology/microbiology

This paper introduces an automatic microscopic urinary sediment analyzer. A set of basic algorithms, including pretreatment and picking up characteristics is brought forward to realize the automatic segmentation of urinary sediment. This paper also characterizes the visible components in urinary sediment in morphology and has sum up 7 morphology parameters and a simple method of classification.
Algorithms ; Artificial Intelligence ; Computers ; Equipment Design ; Humans ; Image Processing, Computer-Assisted ; instrumentation ; methods ; Information Storage and Retrieval ; methods ; Software Design ; Urinalysis ; instrumentation ; methods