Gentler Imaging

点击翻译按钮获取中文摘要

Imaging living cells using optical microscopy is challenging. The light used in optical microscopy often damages the biological system under investigation, and the better resolution we require, the more light is needed. This makes studing the important living processes that occur both rapidly and at the size limits of what can be observed with light microscope almost impossible without the development of new, innovative solutions.Often a single microscope can perform a single imaging modality, so a researcher wanting to image at a number of different resolutions / light intensities would have to move the sample between microscopes. We propose a versatile imaging platform that can switch between imaging modalities. This is useful because it allows us to image a biological system with minimal light, until the event we are interested in occurs. At the time something interesting happens we then want to automatically switch between the low resolution low damage mode to a high resolution, higher photon flux mode - specially in the area where the interesting event is occurring. To automate this process we will train a neural network to study the low resolution images as they are produced and under specific conditions swap to the high resolution mode. This will dramatically reduce the amount of photo damage, allowing the biological event to be observed in much greater detail than previously possible.The example we will use as a proof of concept is the engulfment and killing of microbes by amoebae. This happens in much the same way that our immune cells use to clear the body of pathogens to protect us from infection. The amoeba cells provide a convenient model to understand this, as well as a simple test system for microscope development. The engulfment process, known as phagocytosis, occurs when amoeba or immune cells touch their prey and enwrap them. This will be used to act as a trigger to stimulate the imaging platform to switch to the higher resolution modality, specifically around the microbe being eaten. This will prevent photodamaging the sample prior to engulfment, and allow us to focus the precious light precisely when and where it is needed to understand how engulfment and killing occur. This spatial and temporally selective high-resolution imaging will then be combined with novel camera technology to ensure that each pixel in the image is captured at the optimal signal-to-noise. This will allow users to ensure that the maximal information is obtained from each experiment. Combined, these technologies will dramatically improve our ability to observe a host of important biological events, by overcoming the main limitation of current microscopy.