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Updated: Jun 11, 2026

Measurement of Tissue Non-Heme Iron Content using a Bathophenanthroline-Based Colorimetric Assay
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对物体检测模型的实证研究,用于检测缺铁性贫血,使用周围血液涂抹图像检测缺铁性贫血

K T Navya1, K R Akshatha1, Keerthana Prasad2

  • 1Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.

Biomedical physics & engineering express
|December 2, 2024
PubMed
概括

这项研究引入了一种新的计算机辅助系统,通过检测图像中的特定红细胞异常来诊断缺铁性贫血 (IDA). 开发的机器学习模型显著提高了血液病学家的诊断准确性和速度.

关键词:
计算机辅助系统是计算机辅助系统.缺铁性贫血是因为缺铁性贫血.对象检测模型的模型周围血液涂抹检查红细胞是血液中的红细胞.

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Effects of EDTA on End-Point Detection Methods01:18

Effects of EDTA on End-Point Detection Methods

Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a result, EDTA...