Building a high throughput microscope simulator using the Apache Kafka streaming framework
Abstract: Today microscopy imaging is a widely used and powerful method for investigating biological processes. The microscopes can produce large amounts of data in a short time. It is therefore impossible to analyse all the data thoroughly because of time and cost constraints. HASTE (Hierarchical Analysis of Temporal and Spatial Image Data) is a collaborative research project between Uppsala University, AstraZeneca and Vironova which addresses this specific problem. The idea is to analyse the image data in real time to make fast decisions on whether to analyse further, store or throw away the data. To facilitate the development process of this system a microscope simulator has been designed and implemented with large focus on parameters relating to data throughput. Apart from building the simulator the framework Apache Kafka has been evaluated for streaming large images. The results from this project are both a working simulator which shows a performance similar to that of the microscope and an evaluation of Apache Kafka showing that it is possible to stream image data with the framework.
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