James M. Marr , Ph.D.

James joined Leica Microsystems as an advanced workflow specialist covering Leica’s widefield product line in 2019. During his time at the National Institute of Standards and Technology (NIST), James leveraged advanced microscopy to develop and employ robust applications including: automated particle identification and extraction, widefield lifetime measurements, and super-resolution single-molecule imaging.

Artificial Intelligence (AI) segmentation used in conjunction with LMD to increase discovery throughput.

Biomarker Discovery with Laser Microdissection

Explore the potential of spatial proteomics workflows, such as Deep Visual Proteomics (DVP), to decipher pathology mechanisms and uncover druggable targets. Altered protein expression, abundance, or…

激光显微切割技术如何助力神经科学研究取得开创性进展？

玛尔塔·帕特林尼博士，卡罗林斯卡学院的高级科学家，分享了她在成人人类神经发生开创性研究中使用激光显微切割（LMD）的经验，并提供了关于LMD在空间蛋白质组学和精准医学中未来应用潜力的个人见解。

Images of smooth muscle cells during wound healing. Courtesy L.S. Shankman, Ph.D., University of Virginia.

平滑肌细胞划痕愈合研究

本文主要讨论如何使用专门配置的徕卡倒置显微镜和台式细胞培养箱轻松、可靠地研究多孔板中培养的平滑肌细胞（SMC）的划痕愈合情况。血管受损后影响SMC增殖和迁移的信号转导情况在医学研究中有重要意义。由于SMC遍布全身，所以对其迁移情况的研究也有助于癌症和损伤的治疗。

Mouse kidney section with Alexa Fluor™ 488 WGA, Alexa Fluor™ 568 Phalloidin, and DAPI. Sample is a FluoCells™ prepared slide #3 from Thermo Fisher Scientific, Waltham, MA, USA. Images courtesy of Dr. Reyna Martinez – De Luna, Upstate Medical University, Department of Ophthalmology.

自适应反卷积与 Computational Clearing 结合的力量

反卷积是一种计算方法，用于恢复被点扩散函数（PSF）和噪声源破坏的物体图像。在本技术简介中，您将了解徕卡显微系统提供的反卷积算法如何帮助您克服宽视场 (WF) 荧光显微镜中由于光的波动性和光学元件对光的衍射而造成的图像分辨率和对比度损失。探索由用户控制或自动反卷积的方法，查看并解析更多的结构细节。

消翳现真—突破传统宽场成像的极限

许多软件包都包含成像优化算法，通过降低背景噪声来增强图像特征的对比度。从 WF 图像中去除背景噪声最常用的方法是滚动球和滑动抛物面。近期徕卡显微系统公司推出了其自主研发的成像优化技术—即时成像解析(ICC)，该技术已集成于所有徕卡THUNDER宽场成像平台。