Meeting Recap: Rigor & Reproducibility in Imaging Experiments

IMG_7984After a LONG hiatus, Open MIC reconvened with a lecture on Rigor and Reproducibility in Imaging Experiments given by yours truly (Jen Lee). This was a lecture I had originally prepared for first year grad students as part of a new module funded and required by NIH training grants. The other lectures in the series dealt with the so-called “Reproducibility Crisis” in scientific research, statistical power, analysis/programming, and data management/version control.

I had 90 minutes to discuss best practices for performing imaging experiments to a diverse audience of students from chemistry, bioengineering, and molecular and cell biology. Since not all of the students would even touch a microscope during their Ph.D. studies, I tried to include how one might evaluate a set of images or experimental set-up. The result is that I covered a lot of material but none very deeply.

Screen Shot 2017-04-28 at 4.08.58 PM
As Holly retorts, “Is this why we don’t have any friends??” Photo credit: Mo Kaze.

However, I do think it was a good foundation for the first year students – as well as a good set of reminders for more senior graduate students and postdocs. It was with this idea in mind that I decided to present the lecture again, with a few small changes, to the Open MIC group last Thursday, April 20th. I encouraged people to discuss their own experiences, and indeed, I got some great feedback and tips on available resources for how to improve rigor and reproducibility.

Here’s a PDF of the presentation that I gave: 20170420_RCRRR. It is shared with a watermark and under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). Feel free to use the content with proper attribution to myself and the sources I cited. 

Special thanks to Holly Aaron, Amy Winans, and Victoria Chou for feedback that significantly improved the draft version of this lecture.

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