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在该主题在线研讨会的第一讲中，我们了解到，用光学显微镜采集到的图像是无法完美地还原样品的真实形貌的。由于有些实验误差是不可避免的，只能尽量减少，因此我们在进行最终的图像分析之前，往往需要对成像实验得到的原始数据进行一些数字图像处理操作。

Images taken with a light microscope are never true representations of the specimen. Error sources, which have to be controlled, are sample preparation and staining protocols as well as optical aberrations and limitations of microscope and digital camera.

Want to get a better understanding of digital image processing techniques? Then watch our Ask the Experts webinar rerun on July 29, where we discuss how point and local operation filters can be used to control sources of error such as noise or low contrast in microscopy images. As well as exploring the mathematics behind image processing techniques such as segmentation, extraction and thresholding, our expert Heiko will also discuss the ethics of image processing – helping you judge whether specific techniques are allowed.

Images captured with a light microscope are never true representations of the specimen; there are always sources of error that must be controlled. In this webinar, we will discuss how these sources of error can be managed.