Vikram Kohli , PhD

Vikram Kohli Ph.D is trained as a physicist and engineer with a specialty in semiconductor physics, laser & electro-optics, and mathematics. His postdoctoral work focused on vascular development, neuronal biology, and the genomics and etiology of autoimmune diseases.

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。