4.8
20,431 条评分
★★★★★
2025年11月2日
2016年7月28日
更新内容
v2026.5.09Your feedback and suggestions have inspired these new updates in Human Anatomy Atlas: * Compact mode: The info box can now be fully collapsed, providing a less intrusive experience when in a 3D view. * Body system layers: Add or remove layers to all human body systems in the Systems Tray by using the new plus or minus icons. * Content Search is now part of the main menu, making it faster and easier to find and launch the assets you need. * For your convenience, we’ve added a new section to the Content Search tab where you can find a collection of your recently visited content. * Bug fixes and improvements.
应用信息
- 开发者
- Visible Body Apps
- 分类
- Medical
- 价格
- $24.99
- 版本
- 2026.5.09
- App ID
- 1117998129
简介
Explore human anatomy in interactive 3D with Visible Body! Human Anatomy Atlas is a one-time purchase that gives you access to essential gross anatomy 3D models and select microanatomy models and animations on your iOS devices. Additional in-app purchases are available for physiology animations and dental content. With Human Anatomy Atlas, you get: * Full female and male 3D models to study gross anatomy. View these alongside cadaver and diagnostic images. * 3D views of key organs at multiple levels. Study the lungs, bronchi, and alveoli; Review the kidneys, renal pyramids, and nephrons. * Muscle and bone models that you can move. Learn muscle actions, bone landmarks, attachments, innervations, and blood supply. * Fascia models to see how it divides the muscles of the upper and lower limbs into compartments. You also get a variety of study and presentation tools: * Dissect models on screen, in augmented reality (AR), and in cross-sections. Download free lab activities that walk you through key structures. * Take 3D dissection quizzes and check your progress. * Make interactive 3D presentations that link sets of models to explain and review a topic. Label structures with tags, notes, and 3D drawings.
下载量预测
预估总下载量
9K
低 / 月
13K
预估 / 月
25K
高 / 月
基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。
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