Image Processing and Analysis for Life Scientists | EPFLx on edX


[MUSIC PLAYING] SPEAKER 1: Microscopy has greatly
evolved from its first iteration and has moved from a qualitative
to a quantitative technology. It’s not only about
making nice images, it’s about finding ways to harvest
information out of them. [MUSIC PLAYING] SPEAKER 2: We humans are naturally
excellent at image analysis. Therefore, human measurements
have long been the gold standard of the microscopic world. This is fine as long as the
amount of data remains small. However, it’s caused
issues when results need to be reproduced from someone else. SPEAKER 3: Moreover, with
new techniques constantly pushing the limits of resolution,
acquisition speed, and multiplexing, data size has constantly
increased to the point that human measurements
become either too cumbersome or even impossible to
perform in a reasonable amount of time. As a consequence, computer
based image analysis is key in order to cope with
the typical amount of data and be able to share and
reproduce the analysis strategies. SPEAKER 1: This is why we have
created this cause of image analysis for Life Scientists. Aims to cover basic
principles of image analysis with emphasis on life sciences
and light microscopy exam. We cover basic needs in image processing
and analysis of life scientists and we highlight best practices to avoid
known pitfalls and sources of bias. This course will link the practical
and excrement aspects of microscopy to the need for automated
reproducible image analysis workflows. SPEAKER 2: During each
week, we will cover different aspects ranging
from image formation to batch processing of image data. As a software backbone to
demonstrate the concept, we have chosen image refugee and
externally versatile descriptive all open source image
and that is the solution. SPEAKER 3: The theoretical
aspects of the course are meshed with implementations
and example use cases within Fiji. When relevant, we will also point
out other softwares of interest. However, all principles
you will learn here are applicable within any
image analysis package. SPEAKER 1: This course requires no
particular engineering or programming background, but knowledge of
basic biology and microscopy can help you to understand the
motivation behind the concepts and exercises. We will be using imagery macro
language to showcase image analysis automation, which is readily
understandable to non programmers. [MUSIC PLAYING] We look forward to
having you in our course.

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