A how-to for performing quantitative bioimaging
Bioimaging expert Beth Cimini discusses a comprehensive online guide aimed at making quantitative imaging more accessible.
Starting something new can be overwhelming to a person who does not know what they will need or where to start. Quantitative bioimaging, the process of obtaining quantitative data through images (sometimes thousands of them) and computational approaches, like machine learning, are relatively new to the field of microscopy. Because of its novelty and complexity, biologists who do not have a computational background can have a difficult time incorporating quantitative bioimaging into their experiments. Resources do exist to teach everything needed to perform quantitative bioimaging, however, the volume of educational materials can intimidate those who are just getting started.
In collaboration with BioImaging North America (an organization that fosters collaboration in the bioimaging community), Beth Cimini, the associate director for bioimage analysis in the Imaging Platform at the Broad Institute of MIT and Harvard, has worked to make bioimaging accessible with the creation of bioimagingguide.org, an online guide for producing high quality microscopy images for quantitative data analysis. With the guide and a companion paper published in PLOS Biology, Cimini, postdoctoral fellows Rebecca Senft and Barbara Diaz-Rohrer, and their colleagues aim to create a resource that makes the tools, techniques, and principles of quantitative bioimaging more accessible to biologists who don't have a computational background.
What inspired you all to create the guide?
In the Imaging Platform, we make open-source tools and workflows for researchers at Broad and beyond. On average, we collaborate with 20 to 30 groups a year on projects, and talk to hundreds of researchers. In talking to these folks, we often hear the same frustrations about having to repeat parts of a project because of errors that could have been avoided if they had known what to do.
We had already wanted to put together a way to help people generate good data suitable for good quantification, and in these conversations saw a need for an introduction on how to perform good microscopy as well. So we reached out to BioImaging North America's Image Informatics Working Group , which works on image analysis, and Training and Education Working Group, which works on microscopy education, and asked for their advice on creating a project like this.
What is your favorite feature on the website?
There are a lot of features to love, but the fact that almost all the information in the guide searchable first comes to mind. There are many links to papers and other websites, and also a glossary full of terms and definitions.
I'm also really excited about a feature that we're working on, but which isn't live yet: automatic translation of the website. Not every scientist is fluent in English, and while someone can always use Google Translate or something like that, such translations are not always perfect.We are working with the Training and Education Working Group to translate all of the content into French, Spanish, and Portuguese, and are collaborating with people to get the site translated into other languages as well.
How do you expect or hope that people will use this guide?
Very often you'll find quantitative bioimaging does not happen linearly, but rather in a circle. A person might get to a point in their project and realize that something that they did previously has made it so that they can't proceed. They must then go back to the bench and try a different antibody or dye, or even a different kind of microscope.
My hope is that the information we've compiled will help people recognize where they are on that circle and get around it faster to the answers they seek.
Support for this work was provided by the National Institutes of Health, the Chan Zuckerberg Initiative DAF through the Silicon Valley Community Foundation, the European Molecular Biology Laboratory, and a Morgridge Postdoctoral Fellowship.
Senft RA, Diaz-Rohrer B, Colarusso P, Swift L, Jamali N, Jambor H, et al. A biologist’s guide to planning and performing quantitative bioimaging experiments. PLOS Biology. Online June 27, 2023, DOI: 10.1371/journal.pbio.3002167