Track: Big Imaging Data#

As novel imaging methods such as light-sheet microscopy become more accessible, more researchers collect ever larger imaging data. Transforming this data into scientific insight requires the combined expertise of researchers, imaging facility staff and software engineers, but each of these communities are too often not well-linked to each other. This track aims to bring together image facility staff, imaging researchers and research software engineers to

  • Engage in hands-on tutorials to handle big microscopy data with open-source software

  • Build connections between the imaging and software engineering community

The Big Imaging Data track will include

  • Hands-on introductory tutorials to open-source libraries zarr and dask

  • Participant-led discussions of community, collaboration and careers in Big Imaging Data

Target audience

This course is designed for imaging facility staff, image analysts, and imaging researchers interested in getting hands-on experience in, and building community around, free open-source tools to process big imaging data.

Course overview#

Thursday morning: The technical side of the track will start with an introduction to chunked file formats for big imaging data, such as OME-zarr. We will then proceed to work on hands-on tutorials to

  • Read and write big imaging data using zarr

  • Process big imaging data lazily and in-parallel with dask

Thursday afternoon: The community side of the track will start with a very short introduction to existing community efforts in both software engineering [1], imaging[2] and image analysis[3]_. The participants will then join small discussion groups of their choice circling around the wider question: Where next for careers and community in Big Imaging Data? The discussions will then be fed back to the wider group, and result in the publication of a blog after the course.

Instructors#

Pre-requisites#

Hardware#

As this is a hands-on workshop, you will need to bring your own laptop. Any fairly recent laptop will be suitable, you don’t need a GPU etc.

Software#

Please ensure you have the following installed:

We will email you at least a week before the event with instructions on installing any additional required software.

Python knowledge#

If you’re new to Python, we recommend attending our Intro to Python workshop on Monday, or completing an equivalent course beforehand. This hands-on session will cover the basics, including data types, control flow, functions, and core libraries—a great way to get up to speed before this event.

Data#

Bringing your own data is encouraged but not required. It’s a great chance to get feedback on your data and learn from others. If you don’t have your own data, we will provide example datasets for you to work with.

We expect that participant-led ideas emerging from this track may inspire collaborative projects during the Hackday on Friday.

Apply now!#

Fill in this Google form to apply. We unfortunately have limited space to accommodate participants. To maximise our impact, we aim to select participants that would benefit the most from the event, and that can bring the experience back to a diverse set of fields. Please be specific in your application and tailor it to the main track(s) that you are planning to attend. There is funding for travel and accommodation available. Applicants will be informed of the outcome by early July.