基于光数字图像的感兴趣区域检测:在数字成像中解释化学数据的新方法
Ian Santana Resque1, José Luiz Lima-Filho2, Vagner Bezerra Dos Santos3
1Universidade Federal de São Carlos, Centro de Ciências Naturais, Departamento de Química, São Carlos, SP, Brazil.
Analytica chimica acta
|November 15, 2025
概括
一种新的光数字图像分析与感兴趣区域检测 (FDIB-ROID) 方法扩大了数字成像的分析信号范围. 这种技术克服了动态范围的限制,为定量分析提供了更高的灵敏度和更广泛的工作范围.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 数字成像技术的数字成像.
背景情况:
- 数字相机分析使用颜色模型进行量化,但面临动态范围的限制.
- 这些局限性限制了基于数字图像的方法的线性范围.
- 为了克服这些限制,引入了一种使用数字图像中的排放区域的新方法.
研究的目的:
- 引入和验证一种新的分析信号方法:基于光数字图像的分析与感兴趣区域检测 (FDIB-ROID).
- 为了证明FDIB-ROID的分析确定能力.
- 为了克服传统的基于色彩模型的数字图像分析的动态范围限制.
主要方法:
- 开发了FDIB-ROID方法,利用可见光谱中的排放分析物 (素,罗达胺染料,DCM).
- 采用了新的便携式3D打印设备,用于激发 (300-800 nm) 和检测.
- 使用素 (QN) 标准和商业样本验证的方法性能.
主要成果:
- FDIB-ROID为分析物建立了线性信号度关系.
- 对于QN,达到50-1000 ng/mL的度范围,检测极限为10 ng/mL,R2为0.998.
- 证明了与商业光谱仪相提并论的可检测性,验证了准确性,精度和可重复性.
结论:
- 与传统的颜色模型值相比,FDIB-ROID提供了显著更广泛的分析信号范围.
- 这种方法克服了现有的基于数字图像的分析技术的固有局限性.
- 了解ROID有助于开发具有增强灵敏度和扩展动态工作范围的工具.
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