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基于电可调透镜(ETL)的材料参数化表面纹理分析可变焦距成像系统

Electrically Tunable Lens (ETL)-Based Variable Focus Imaging System for Parametric Surface Texture Analysis of Materials.

作者信息

Nirwan Jorabar Singh, Lou Shan, Hussain Saqib, Nauman Muhammad, Hussain Tariq, Conway Barbara R, Ghori Muhammad Usman

机构信息

Department of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield HD1 3DH, UK.

EPSRC Future Metrology Hub, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK.

出版信息

Micromachines (Basel). 2021 Dec 23;13(1):17. doi: 10.3390/mi13010017.

Abstract

Electrically tunable lenses (ETLs) are those with the ability to alter their optical power in response to an electric signal. This feature allows such systems to not only image the areas of interest but also obtain spatial depth perception (depth of field, DOF). The aim of the present study was to develop an ETL-based imaging system for quantitative surface analysis. Firstly, the system was calibrated to achieve high depth resolution, warranting the accurate measurement of the depth and to account for and correct any influences from external factors on the ETL. This was completed using the Tenengrad operator which effectively identified the plane of best focus as demonstrated by the linear relationship between the control current applied to the ETL and the height at which the optical system focuses. The system was then employed to measure amplitude, spatial, hybrid, and volume surface texture parameters of a model material (pharmaceutical dosage form) which were validated against the parameters obtained using a previously validated surface texture analysis technique, optical profilometry. There were no statistically significant differences between the surface texture parameters measured by the techniques, highlighting the potential application of ETL-based imaging systems as an easily adaptable and low-cost alternative surface texture analysis technique to conventional microscopy techniques.

摘要

电可调透镜(ETL)是指那些能够响应电信号改变其光学焦度的透镜。这一特性使此类系统不仅能够对感兴趣的区域成像,还能获得空间深度感知(景深,DOF)。本研究的目的是开发一种基于ETL的成像系统用于定量表面分析。首先,对系统进行校准以实现高深度分辨率,保证深度的准确测量,并考虑和校正外部因素对ETL的任何影响。这是使用Tenengrad算子完成的,该算子有效地识别出最佳聚焦平面,如施加到ETL的控制电流与光学系统聚焦高度之间的线性关系所示。然后,该系统用于测量一种模型材料(药物剂型)的幅度、空间、混合和体积表面纹理参数,并与使用先前验证的表面纹理分析技术——光学轮廓仪获得的参数进行验证。两种技术测量的表面纹理参数之间没有统计学上的显著差异,突出了基于ETL的成像系统作为一种易于适应且低成本的替代传统显微镜技术的表面纹理分析技术的潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39f8/8778955/c09ad6d9757e/micromachines-13-00017-g001.jpg

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