通过微分显微镜进行超快速定量相位成像 [受邀]
Udith Haputhanthri1,2, Kithmini Herath1,2, Ramith Hettiarachchi1,2
1Center for Advanced Imaging, Faculty of Arts and Sciences, Harvard University, Cambridge, MA 02138, USA.
Biomedical optics express
|March 18, 2024
概括
量相显微镜 (QPM) 现在可以使用一种新的光学压缩-解压缩框架来实现更高的吞吐量. 这种方法减少了数据采集瓶,为各种应用程序提供更快的无标签成像.
科学领域:
- 生物医学光学 生物医学光学
- 显微镜技术 显微镜技术
- 计算成像技术的成像
背景情况:
- 定量相显微镜 (QPM) 是一种无标签的成像技术,在代谢学和组织病理学中具有广泛的应用.
- 目前的QPM吞吐量受到图像传感器像素率的限制,这阻碍了实时分析和大体积研究.
- 传感器和深度学习的进步改善了QPM,但没有克服基本的硬件瓶.
研究的目的:
- 在QPM中开发一个新的压缩图像采集框架,以克服硬件限制.
- 引入可学习的光学压缩解压缩系统,以提高QPM吞吐量.
- 通过内容特定的功能学习来证明QPM的显著吞吐量改进.
主要方法:
- 微分定量相显微镜 (∂-QPM) 系统的数值模拟.
- 在硬件层面实现可学习的光学处理器用于图像压缩.
- 使用重建神经网络进行后获取图像解压缩.
主要成果:
- 在数值实验中实现了 ×64 的压缩系数.
- 保持了高图像保真度,结构相似度指数 (SSIM) 为0.90.
- 保持图像质量,用于蜂成像的峰值信号噪声比 (PSNR) 为30dB.
结论:
- 拟议的 ∂-QPM 框架为显著提高 QPM 系统吞吐量提供了一条新的途径.
- 学习光学压缩有效地绕过传感器像素率的限制.
- 这种方法有望为无标签,高通量显微镜带来前所未有的改进.
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