Integrated System for Multi‑Technique Contact Angle Measurements under Pressure and Temperature Control
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<title>Algorithms and Validation Data for Multi‑Technique Contact Angle Measurements</title>
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<h1>Algorithms and Validation Data for Multi‑Technique Contact Angle Measurements under Pressure and Temperature Control</h1>
<h2>Overview</h2>
<p>
This dataset contains the algorithmic tools, validation data, and example workflows used to determine apparent contact angles through image‑based processing methods.
It supports the development, verification, and reproducibility of a multi‑technique experimental system capable of measuring contact angles under controlled pressure and temperature conditions (Tapias‑Boon System).
</p>
<p>
The dataset includes synthetic droplet generation tools, image‑processing algorithms for multiple measurement techniques, statistical validation results, example images, and documentation for all MATLAB scripts.
All resources are organized to facilitate reproducibility, benchmarking, and integration into experimental workflows.
</p>
<hr>
<h2>1. SmartDroplet Toolkit</h2>
<p>
The <strong>SmartDroplet Toolkit</strong> provides MATLAB‑based tools for generating synthetic droplet contours, processing droplet shapes, and validating contact angle algorithms.
</p>
<h3>1.1 Synthetic Droplet Contour Generator</h3>
<ul>
<li>Generates idealized droplet contours across a user‑defined contact‑angle range.</li>
<li>Supports both random and predefined angle generation.</li>
<li>Enables systematic algorithm validation.</li>
</ul>
<h3>1.2 Droplet Contour Processing Tools</h3>
<ul>
<li>Automated contour extraction in hydrophilic and hydrophobic regimes.</li>
<li>Contact‑point detection using cross‑product slope analysis.</li>
<li>Parabolic fitting for precise angle estimation.</li>
<li>Interactive visualization utilities.</li>
</ul>
<h3>1.3 Statistical Validation Suite</h3>
<ul>
<li><strong>Scatter plots</strong>: measured vs. true angles.</li>
<li><strong>PDF of absolute error</strong>: distribution of measurement deviations.</li>
<li><strong>Bland–Altman analysis</strong>: agreement and bias detection.</li>
<li><strong>MAE by angular range</strong>: segmented mean absolute error.</li>
<li><strong>RMSE by angular range</strong>: segmented root‑mean‑square error.</li>
</ul>
<p><strong>Associated file:</strong> <code>SmartDroplet_Toolkit_BaseAlgorithms.tar</code></p>
<hr>
<h2>2. Tapias‑Boon System Validation</h2>
<p>
This component validates the image‑processing workflow integrated into the <strong>Tapias‑Boon System</strong>, a multi‑technique device for contact angle measurements under high‑pressure and high‑temperature (HPHT) conditions.
</p>
<h3>Validation datasets</h3>
<ul>
<li>1600 synthetic droplet contours generated using the SmartDroplet Toolkit (5°–173°).</li>
<li>Images of 3D‑printed reference geometries representing hydrophilic, mixed, and hydrophobic wetting scenarios.</li>
<li>Acquired images under realistic optical and geometric conditions.</li>
</ul>
<p>
The statistical evaluation confirms the robustness and accuracy of the integrated image‑processing algorithms.
</p>
<p><strong>Associated file:</strong> <code>TapiasBoon_SystemValidation.tar</code></p>
<hr>
<h2>3. Contact Angle Measurement Tools</h2>
<p>
This section provides MATLAB tools and example datasets for three measurement techniques: sessile drop, captive bubble, and tilted plate.
</p>
<h3>3.1 Sessile Drop – Static contact angle determination using drops deposited on surfaces</h3>
<p>
This dataset contains MATLAB-based tools for measuring contact angles of liquid droplets on solid surfaces. It includes two main tools:
</p>
<ul>
<li><strong>ContourFun</strong> – Detects and extracts droplet contours from images for geometric analysis.</li>
<li><strong>CAFun_Sessile</strong> – Calculates contact angles based on the extracted droplet contour using established image analysis algorithms.</li>
</ul>
<p>
Example images are provided from an experiment conducted on a quartz substrate with a droplet of deionized water inside a pressurized chamber at 10 MPa and 110 °C using nitrogen.
</p>
<p><strong>Associated file:</strong> <code>Sessile_Drop_(Base_Algorithms).tar</code></p>
<h3>3.2 Captive Bubble – Measurement using bubbles trapped at liquid interfaces</h3>
<p>
This dataset contains MATLAB-based tools for measuring contact angles of gas bubbles on solid surfaces. It includes three main tools:
</p>
<ul>
<li><strong>Rotate90Fun</strong> – Rotates the images 90° counter-clockwise to ensure a consistent analytical orientation along the X-axis, preventing the droplet profile from having multiple Y-values at a given X-coordinate.</li>
<li><strong>ContourBubbleFun</strong> – Automatically processes droplet images to extract clean left and right contour profiles using ROI selection, filtering, binarization, and perimeter detection.</li>
<li><strong>CABubbleFun</strong> – Computes left, right, and average contact angles from the extracted contour data using cross-product slope analysis, parabolic fitting, and statistical validation tools.</li>
</ul>
<p>
Example images for workflow demonstration are included.
</p>
<p><strong>Associated file:</strong> <code>Captive_Bubble_(Base_Algorithms).tar</code></p>
<h3>3.3 Tilted Plate – Dynamic angle measurement using automated inclined surfaces</h3>
<p>
This dataset provides MATLAB-based tools for measuring the contact angles of droplets on surfaces that are tilted under precise angular control. It includes four primary tools:
</p>
<ul>
<li><strong>ContourFun</strong> – Extracts droplet contours from images and stores left and right side coordinates for further analysis.</li>
<li><strong>SubstrateTiltFun</strong> – Determines the substrate baseline angle for each droplet and generates adjusted tilt values for image alignment.</li>
<li><strong>rotateTiltFun</strong> – Rotates images according to the baseline tilt, producing a consistent orientation for accurate contact angle measurement.</li>
<li><strong>CATiltFun</strong> – Calculates left and right contact angles using slope analysis and polynomial fitting, visualizes droplet data, and exports results as CSV.</li>
</ul>
<p>
Example images are provided from an experiment conducted on a quartz substrate with a droplet of deionized water inside a pressurized chamber at 10 MPa and 20 °C using nitrogen. The set includes more than 200 images covering an angular range from 0° to 90°, with an angular speed of 0.45°/frame.
</p>
<p><strong>Associated file:</strong> <code>Tilted_Plate_(Base_Algorithms).tar</code></p>
<hr>
<h2>4. Documentation</h2>
<p>
Each MATLAB script (<code>.m</code>) includes a detailed README covering:
</p>
<ul>
<li>Purpose and general description.</li>
<li>Configurable parameters.</li>
<li>Step‑by‑step workflow.</li>
<li>Output formats and generated figures.</li>
<li>Required input files.</li>
</ul>
<hr>
<h2>5. Applications</h2>
<ul>
<li>Surface science and wettability research.</li>
<li>Coating and material characterization.</li>
<li>Algorithm development and benchmarking.</li>
<li>Education in interfacial phenomena.</li>
<li>HPHT experimental method development.</li>
</ul>
<hr>
<h2>6. Purpose of the Dataset</h2>
<p>
This dataset accompanies and supports the findings of the associated research article.
It enables reproducibility of experiments, independent validation of algorithms, transparent documentation of the Tapias‑Boon System, and open‑source dissemination of measurement tools.
</p>
<hr>
<h2>7. Repository</h2>
<p>
The latest versions of scripts and updates are maintained in the GitHub repository:
</p>
<p>
<a href="https://github.com/FabianTapias" target="_blank">https://github.com/FabianTapias</a>
</p>
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# 压温可控条件下多技术接触角（Contact Angle）测量算法与验证数据集
## 概述
本数据集包含用于通过图像处理方法获取表观接触角的算法工具、验证数据与示例工作流，可为可实现压温可控条件下接触角测量的多技术实验系统（Tapias‑Boon系统）的开发、验证与可复现性研究提供支撑。
本数据集涵盖合成液滴生成工具、适配多种测量技术的图像处理算法、统计验证结果、示例图像，以及所有MATLAB脚本的配套文档。所有资源均经过系统化组织，便于研究人员开展可复现研究、算法基准测试以及将工具集成至实验工作流中。
---
## 1. SmartDroplet工具包（SmartDroplet Toolkit）
**SmartDroplet工具包**提供基于MATLAB的工具，用于生成合成液滴轮廓、处理液滴形状以及验证接触角算法。
### 1.1 合成液滴轮廓生成器
- 在用户自定义的接触角范围内生成理想化液滴轮廓。
- 支持随机生成与预定义角度生成两种模式。
- 可用于开展系统化的算法验证。
### 1.2 液滴轮廓处理工具
- 自动提取亲水与疏水体系下的液滴轮廓。
- 基于叉积斜率分析实现接触点检测。
- 采用抛物线拟合实现高精度角度估算。
- 提供交互式可视化工具。
### 1.3 统计验证套件
- **散点图（Scatter Plots）**：实测角度与真实角度对比图。
- **绝对误差概率密度函数（PDF of Absolute Error）**：测量偏差的分布情况。
- **Bland-Altman分析（Bland–Altman Analysis）**：一致性与偏差检测分析。
- **分角度区间平均绝对误差（Mean Absolute Error by Angular Range, MAE）**：分段平均绝对误差。
- **分角度区间均方根误差（Root-Mean-Square Error by Angular Range, RMSE）**：分段均方根误差。
配套文件：<code>SmartDroplet_Toolkit_BaseAlgorithms.tar</code>
---
## 2. Tapias‑Boon系统验证
本组件用于验证集成于**Tapias‑Boon系统**的图像处理工作流，该系统是一款可在高压高温（High-Pressure High-Temperature, HPHT）条件下开展接触角测量的多技术实验装置。
### 验证数据集
- 1600组通过SmartDroplet工具包生成的合成液滴轮廓（角度范围5°~173°）。
- 3D打印的参考几何模型图像，涵盖亲水、混合与疏水润湿场景。
- 基于真实光学与几何条件采集的实验图像。
统计评估结果证实了集成图像处理算法的鲁棒性与准确性。
配套文件：<code>TapiasBoon_SystemValidation.tar</code>
---
## 3. 接触角测量工具
本章节提供基于MATLAB的工具与示例数据集，涵盖三种测量技术：静滴法（Sessile Drop）、俘获气泡法（Captive Bubble）与倾斜板法（Tilted Plate）。
### 3.1 静滴法（Sessile Drop）——基于沉积于固体表面的液滴测定静态接触角
本数据集包含用于测量固体表面液滴接触角的MATLAB工具，涵盖两个核心工具：
- **ContourFun**：从图像中检测并提取液滴轮廓，用于后续几何分析。
- **CAFun_Sessile**：基于提取的液滴轮廓，采用成熟的图像分析算法计算接触角。
示例图像来自一项实验：在10 MPa、110 ℃的加压腔体内，以氮气为介质，于石英基底上滴加去离子水后采集的图像。
配套文件：<code>Sessile_Drop_(Base_Algorithms).tar</code>
### 3.2 俘获气泡法（Captive Bubble）——基于捕集于液固界面的气泡开展测量
本数据集包含用于测量固体表面气液界面处气泡接触角的MATLAB工具，涵盖三个核心工具：
- **Rotate90Fun**：将图像逆时针旋转90°，确保分析时沿X轴保持统一取向，避免液滴轮廓在同一X坐标下存在多个Y值。
- **ContourBubbleFun**：通过感兴趣区域（Region of Interest, ROI）选择、滤波、二值化与边缘检测，自动处理气泡图像并提取清晰的左右轮廓。
- **CABubbleFun**：基于提取的轮廓数据，采用叉积斜率分析、抛物线拟合与统计验证工具，计算左侧、右侧及平均接触角。
包含用于演示工作流的示例图像。
配套文件：<code>Captive_Bubble_(Base_Algorithms).tar</code>
### 3.3 倾斜板法（Tilted Plate）——基于自动倾斜表面开展动态角度测量
本数据集提供基于MATLAB的工具，用于测量精确角度控制下倾斜表面上液滴的接触角，涵盖四个核心工具：
- **ContourFun**：从图像中提取液滴轮廓，并存储左右两侧的坐标信息用于后续分析。
- **SubstrateTiltFun**：确定每个液滴对应的基底基线角度，并生成用于图像对齐的调整后倾斜值。
- **rotateTiltFun**：根据基底基线角度旋转图像，获得统一取向以实现高精度接触角测量。
- **CATiltFun**：采用斜率分析与多项式拟合计算左右接触角，可视化液滴数据并将结果导出为逗号分隔值（Comma-Separated Values, CSV）格式。
示例图像来自一项实验：在10 MPa、20 ℃的加压腔体内，以氮气为介质，于石英基底上滴加去离子水后采集的图像。该数据集包含200余幅图像，覆盖0°~90°的角度范围，帧间角度步长为0.45°/帧。
配套文件：<code>Tilted_Plate_(Base_Algorithms).tar</code>
---
## 4. 文档说明
每份MATLAB脚本（.m文件）均附带详细的README文档，涵盖以下内容：
- 工具用途与总体说明。
- 可配置参数列表。
- 分步操作工作流。
- 输出格式与生成的图表。
- 所需输入文件说明。
---
## 5. 应用场景
- 表面科学与润湿性研究。
- 涂层与材料表征。
- 算法开发与基准测试。
- 界面现象相关教学。
- 高压高温实验方法开发。
---
## 6. 数据集用途
本数据集配套相关研究论文发布，可为研究结果提供支撑。其可助力实验可复现性研究、算法独立验证、Tapias‑Boon系统的透明化文档编写，以及测量工具的开源传播。
---
## 7. 代码仓库
脚本的最新版本与更新内容维护于以下GitHub仓库：
https://github.com/FabianTapias
提供机构：
DaRUS
创建时间：
2026-01-16
