BIO-695: Image Processing for Life Science

Lectures in this course (51)

Covers color models, projections, and reslicing in image analysis for life sciences.

Introduces variables in ImageJ macro language, including types and operators.

Covers the basics of arrays in ImageJ, including defining, declaring, and retrieving values, with an emphasis on using meaningful names.

Covers the basics of conditionals and their implementation in programming.

Covers the concept of loops in programming, including for, while, and do-while loops.

Explores custom functions, macro function types, string manipulation, and logical image processing units.

Covers image histograms, saturation artifacts, and brightness/contrast adjustments in digital images.

Covers the evolution of microscopy and the importance of computer-based image analysis.

Emphasizes the reliability of digital image analysis over human visual perception.

Covers colors, scientific images, and image dimensions beyond 2D planes.

Covers human spectral sensitivity to color and the use of Look Up Tables (LUT) in image processing.

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