Tags: image analysis

Resources (1-6 of 6)

  1. A virtual laboratory on cell division using a publicly-available image database

    28 Aug 2021 | Teaching Materials | Contributor(s):

    By Eric A Shelden*1, Erika G Offerdahl1, Graham T Johnson2

    1. Washington State University 2. Allen Institute for Cell Science and University of California San Francisco

    Cell division is a key concept in cell biology. While there are many popular activities to teach students the stages of mitosis, most make use of simple schematics, cartoons, or textbook diagrams....

    https://qubeshub.org/publications/2631/?v=1

  2. AIMS- Analyzing Images to learn Mathematics and Statistics - studying leaf cutter ants to learn linear regression

    03 Jan 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak

    Radford University

    This is a teaching resource that uses fascinating images and videos of leaf cutter ants foraging in Panama to provide an engaging context for students to learn about mathematics and statistics.

    https://qubeshub.org/publications/239/?v=1

  3. CyVerse: Scalable Image Informatics

    27 Jul 2020 | Teaching Materials | Contributor(s):

    By Tyson Lee Swetnam1, Edwin Skidmore2, Tony Edgin2, Ramona Walls2, Eric Lyons2, Nirav Merchant2

    1. University of Arizona BIO5 Institute, CyVerse 2. University of Arizona

    Poster on cyberinfrastructure for the machine learning ere presented at the 2020 BIOME Institute: Cultivating Scientific Curiosity

    https://qubeshub.org/publications/2006/?v=1

  4. Phenotypic plasticity and predation

    29 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Justin Touchon2

    1. Radford University 2. Vassar College

    Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...

    https://qubeshub.org/publications/545/?v=2

  5. Phenotypic plasticity and predation

    24 Aug 2018 | Teaching Materials | Contributor(s):

    By Jeremy M Wojdak1, Justin Touchon2

    1. Radford University 2. Vassar College

    Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...

    https://qubeshub.org/publications/545/?v=1

  6. Robot vs. Disease: Using CellProfiler to model biomedical research in your classroom

    17 Jan 2018 | Teaching Materials | Contributor(s):

    By Mark Bray

    Broad Institute of Harvard and MIT

    Resource from the 2015 BioQUEST Summer Workshop

    https://qubeshub.org/publications/315/?v=1