Juan Nunez-Iglesias

Number of videos:
7
Clustering of high content images to discover off target phenotypes
SciPy 2014
Juan Nunez-Iglesias
Recorded: July 10, 2014Language: English

In high content imaging screens, cells are subjected to various treatments (usually shutting down specific genes) in high throughput, imaged, and a phenotype of interest measured. We argue that there is a wealth of information to be found in off-target phenotypes, and present an image clustering approach to discover these and infer gene function.

Image analysis in Python with scipy and scikit image 4
SciPy 2014
Juan Nunez-Iglesias , Tony Yu
Recorded: July 9, 2014Language: English

From telescopes to satellite cameras to electron microscopes, scientists are producing more images than they can manually inspect. This tutorial will introduce automated image analysis using the "images as numpy arrays" abstraction, run through various fundamental image analysis operations (filters, morphology, segmentation), and finally complete one or two more advanced real-world examples.

Image analysis in Python with scipy and scikit image, Part 1
SciPy 2014
Juan Nunez-Iglesias , Tony Yu
Recorded: July 9, 2014Language: English

From telescopes to satellite cameras to electron microscopes, scientists are producing more images than they can manually inspect. This tutorial will introduce automated image analysis using the "images as numpy arrays" abstraction, run through various fundamental image analysis operations (filters, morphology, segmentation), and finally complete one or two more advanced real-world examples.

Image analysis in Python with scipy and scikit image, Part 2
SciPy 2014
Juan Nunez-Iglesias , Tony Yu
Recorded: July 9, 2014Language: English

From telescopes to satellite cameras to electron microscopes, scientists are producing more images than they can manually inspect. This tutorial will introduce automated image analysis using the "images as numpy arrays" abstraction, run through various fundamental image analysis operations (filters, morphology, segmentation), and finally complete one or two more advanced real-world examples.

Image analysis in Python with scipy and scikit image, Part 3
SciPy 2014
Juan Nunez-Iglesias , Tony Yu
Recorded: July 9, 2014Language: English

From telescopes to satellite cameras to electron microscopes, scientists are producing more images than they can manually inspect. This tutorial will introduce automated image analysis using the "images as numpy arrays" abstraction, run through various fundamental image analysis operations (filters, morphology, segmentation), and finally complete one or two more advanced real-world examples.