Editorial guidelines
How we write, check and update the guides, tutorials, tool pages and documentation on this site.
Purpose
Our content helps researchers, educators and students make accurate, accessible scientific visuals and do common lab calculations correctly. We write for people who will rely on the result in a paper, a poster, a lecture or at the bench.
Accuracy and review
- Formulas and methods on tool pages are standard, cited where a specific method is used (for example the Livak 2^−ΔΔCt method, the Machado 2009 colour-vision model, or a four-parameter logistic fit), and shown on the page so results can be checked by hand.
- Worked examples are recalculated with the tool before publication.
- Statistics in the Graphs app are tested against SciPy and statsmodels; changes that affect numbers must pass those checks.
- Journal requirements (figure widths, resolutions, styles) are taken from the journals’ own author guidelines and we tell readers to confirm them, because guidelines change.
Transparency
Pages say what a tool does and does not do. We do not invent data: the figure legend generator, for example, assembles only what you type. Product pages describe features that exist in the current release. Posts show their publication date and are updated when the product or the science changes.
Accessibility
We recommend colour-blind-safe palettes, adequate contrast, direct labels and font sizes that survive printing, and we apply the same rules to our own pages.
Independence
We do not accept payment for coverage. When we compare LabCanvas with other tools, we describe them fairly and from their public documentation.
Corrections
Found an error? Email labcanvasapp@gmail.com with the page address. We correct factual errors promptly and note significant corrections on the page.