# ImageJ

## ImageJ实用教程（知乎）

{% embed url="<https://www.zhihu.com/column/c_1069243926476673024>" %}

## 免疫荧光共定位分析

*

## WB条带灰度分析

* 调整背景：Image → Type → 16bit
* 背景均一化：Process → Substract background → light background + disable smoothing + rolling ball radius = 100
* &#x20;旋转条带（必要时）：Image → Transform → Rotate
* 选择区域：拉矩形框 → Analyze → Gels → Select first lane → Plot lanes → 垂直画线封口
* 计算面积：魔棒工具选中 → 自动生成面积数值

## 划痕分析

* Wound Healing Tool插件：<https://github-wiki-see.page/m/MontpellierRessourcesImagerie/imagej_macros_and_scripts/wiki/Wound-Healing-Tool>

## 粒径分析（肿瘤球直径/面积）

* 调整背景：Image → Type → 16bit
* 把颗粒和背景分开：Image → Adjust → Threshold → Apply
* 把颗粒和颗粒分开：Process → Binary → Watershed
* 设置参数：Analyze → Set Measurements → 选中想要的指标
* 测量：Analyze → Analyze Particles
* 如要提高准确性，可以手动用不规则图形工具圈选肿瘤球，然后点击Analyze → Measure

## HE切片统一颜色

* Photoshop
  \*

## 批量操作（以肿瘤球分析为例）

* 打开一张图片，然后Plugins → Macros → Record
* 然后运行对象操作，复制运行代码

```
#以肿瘤球分析代码为例
run("16-bit");
setAutoThreshold("Default no-reset");
//run("Threshold...");
setThreshold(0, 75, "raw");
setOption("BlackBackground", false);
run("Convert to Mask");
run("Analyze Particles...", "size=5-Infinity display");
```

* 点击Process → Batch → Macro，选择输入文件夹以及输出文件夹，复制代码，然后Process，即可得到分析结果以及处理后的图像。


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