1 Figure Preparation checklist
- Determine what message you want the reader to take from your figure, and the most effective way of conveying that point
- Remove any extraneous or distracting data that distracts from the main message of your figure (taking care not to make the figure misleading by doing so)
- Determine how large the figure needs to be: how much space will it take up on a page?
- Will it be easy for your reader to see key details if the figure is this size?
- Check that the figure is clear and not pixellated: will your reader be able to see all the important details? Is the resolution good enough?
- You should always prepare figures in vector format (i.e. PDF, PS, or SVG) where possible to avoid pixellation issues.
- Check that the colour scheme you have chosen is colour-blind friendly and not visually jarring
- Check that any fonts used are legible at the size printed
- Figure titles should give a concise “take-home message” conveying the result(s) shown in the figure
- Figure legends should give enough detail about the experiment for the reader to understand what was done (the figure should be able to stand on its own)
2 A guide to figure preparation
- Refer back to the Data presentation and figure preparation (BM432 workshop 6 materials) as needed.
- Points of View - In my opinion the definitive guide to graphic design for scientific figures - LP
- Making model figures (slides used in our regular meeting discussion)
- Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm - A compelling case for why you should never use bar graphs, and especially not dynamite plots - LP
- Read Ten Simple Rules for Better Figures - Yet another excellent “Ten Simple Rules…” article - LP
- Digital Images Are Data: And Should Be Treated as Such - It’s natural to think of images as being “neutral” in some way, but they are not - LP
- Ten common statistical mistakes to watch out for when writing or reviewing a manuscript - Another “Ten Simple Rules…” article - LP
- Fundamentals of graphic design—essential tools for effective visual science communication - A good, short summary of graphic design principles relevant to scientific communication - LP
- 11 Graphic Design Tips to Create Images Like a Pro - Economical advice for powerful graphic design - LP
3 Other Useful Resources
- Biorender - Useful clipart and images for building your own figures - LP
- ImageJ Basics - The standard open source image analysis software - LP
- Coblis — Color Blindness Simulator - It’s kind to consider the needs of others, so always check your images for colourblindness accessibility - LP
- Data visualization with ggplot2 :: Cheat Sheet -
ggplot
is an amazing way to generate powerful graphs, though there can be a learning curve, especially if you don’t yet knowR
- LP
4 Dr Feeney’s pet peeves for figures
- Why You Must Plot Your Growth Data On a Semi-log Graph - TBH, this is trivial to do now in most graphic packages, so there’s no excuse - LP
- Make sure you include a scale on any images that need them (e.g., micrographs, phylogenetic trees)
- By convention, figure titles and legends are presented below the corresponding figure, while table titles are presented above the corresponding table.
- Make sure your text is formatted correctly within your figure (e.g., species names should be italicized, gene and protein names should be formatted correctly)