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Visual Data Design Assignment

Module by: The Cain Project in Engineering and Professional Communication

Summary: In this assignment from a writing course for upper-level bioscience majors at Rice University, students prepare a figure, using photographic images from a microscope, for an already published journal article. Although the assignment is specific to the course and to bioscience students, other courses and disciplines may have similar opportunities for students to design visuals for professional documents. This assignment may be adapted for such situations.

Overview

For this assignment you will design a visual aid for Figure 1D in the published article that we provide.

Purposes

Bioscientists frequently publish visual data such as gels, blots, microarrays, and photographs. Certain strategies help an author communicate visual data accurately, concisely, and effectively. In this assignment, you will practice the technique of designing a visual aid from “raw” micrographic data.

Tasks

Examine the article for which you are preparing the visual. At a minimum, you should read the article’s Introduction and the section of the Results entitled, “Generation of Mice Expressing a Truncated MeCP2 Protein.” We will provide you with four micrographic (microscopic photograph) images by email. Each photograph represents a 50 μm x 43 μm section of tissue. Use the Results section and the Figure 1D caption to help you decide how to crop, label, and arrange elements of the figure.

As you design the visual, ask yourself the following questions:

  • How much of each micrograph is necessary to include in order to concisely, accurately, and effectively communicate the data?
  • How should I label the visual aid to show the types of cells (wild-type and mutant) and antibodies (C-terminal and MeCP2N15) used?
  • How can I illustrate the scale of the micrographs?

Evaluation

We will evaluate your visual data analysis assignment according to following criteria:

  • Cropping and labeling adhere to design conventions
  • Design of the visual accurately, concisely, and effectively communicates the findings of the authors

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