Rapid Bacterial Detection in Urine Using Laser Scattering and Deep Learning Analysis.

Images of laser scattering patterns generated by bacteria in urine are promising resources for deep learning. However, floating bacteria in urine produce dynamic scattering patterns and require deep learning of spatial and temporal features. We hypothesized that bacteria with variable bacterial densities and different Gram staining reactions would generate different speckle images. After deep learning of speckle patterns generated by various densities of bacteria in artificial urine, we validated the model in an independent set of clinical urine samples in a tertiary hospital. Even at a low bacterial density cutoff (1,000 CFU/mL), the model achieved a predictive accuracy of 90.9% for positive urine culture. At a cutoff of 50,000 CFU/mL, it showed a better accuracy of 98.5%. The model achieved satisfactory accuracy at both cutoff levels for predicting the Gram staining reaction. Considering only 30 min of analysis, our method appears as a new screening tool for predicting the presence of bacteria before urine culture. IMPORTANCE This study performed deep learning of multiple laser scattering patterns by the bacteria in urine to predict positive urine culture. Conventional urine analyzers have limited performance in identifying bacteria in urine. This novel method showed a satisfactory accuracy taking only 30 min of analysis without conventional urine culture. It was also developed to predict the Gram staining reaction of the bacteria. It can be used as a standalone screening tool for urinary tract infection.

Measurement of the Cellular Hemoglobin Concentration by Laser Scatter Method from Excessive Lipemic Sample: CASE REPORT.

A 33-month old female child presented at a pediatric clinic with acute tonsillitis, and it was subsequently discovered that she had familial hyperlipidemia. Measurement of the patient's whole blood tests was performed by a multiparameter automated hematology analyzer, the CELLDYN Ruby System® (Abbott, Lake Forest, USA) using venous blood extracted from a tube containing 3.0 mL of EDTA. Although her hematocrit levels were within normal limits, the hemoglobin (Hgb) level, mean corpuscular volume (MCH) and mean corpuscular Hgb concentration (MCHC) could not be determined using the spectrophotometric method. The results of these tests could not be measured when repeated using dilution. When the sample was left to rest for several minutes, it was observed to be excessively lipemic. The measurements were repeated using the Alinity HQ Analyzer® (Abbott), which determines Hgb concentration using laser scatter and spectrophotometry. Hgb cellular concentration was incorrectly measured as being 21.9 mg/dL using routine spectrophotometry (denoted by a flag indicating Hgb interference) and correctly found to be 10.8 mg/dL. Thus, in samples of excessive lipemia, Hgb, MCH, and MCHC levels cannot be measured accurately using spectrophotometry. Hematology analyzers that can measure cellular hemoglobin (cHGB) and average erythrocyte hemoglobin concentration (cHCM) by laser scatter method may be recommended when analyzing a blood sample that contains excessive lipemia.

Eales disease in a young adult man Case report.

PURPOSE: To report the case of a 39-year-old man with bilateral Eales disease. METHODS: The clinical, angiographic, and ultrasonographic evaluations of the patient were thoroughly and specifically carried out. RESULTS: The treatment consisted of pars plana vitrectomy and endolaser treatment at the time of surgery to the left eye and laser scatter retinal photocoagulation to the right eye. Postoperatively, the visual acuity improved at 20/ 20 to the left eye. CONCLUSIONS: Eales disease is a clinical diagnosis of exclusion as many other retinal disorders can mimic it, especially conditions of retinal inflammation or neovascularization. The condition, with a characteristic clinical picture, fluorescein angiographic finding, and natural course, is considered a specific disease entity, easily distinguished from other vasculitides and retinopathies.

Latest advance of blood cell count technique / 医疗卫生装备

Blood cell count plays an important role in modern clinical practice. This paper reviews the methods and techniques used in the field of blood cell count, and analyzes intensively the principles and implement methods of Coulter Principle and Laser Scatter Principle. The problems to be solved in this field and the latest advance are mentioned. The developing trend, to integrate multi-techniques and apply micrography, is also mentioned.