EMBL Heidelberg was the venue for the EMBL Symposium: Seeing is Believing – Imaging the Molecular Processes of Life that took place on 9-12 October 2019. This was the second EMBL meeting on imaging data we attending this year after VIZBI (see the write-up here), GigaScience Data Scientist Chris Armit was there and was astonished at how recent breakthroughs in imaging technology are enlightening our understanding of the Life Sciences.

Just out in full text is a our first paper showcasing our latest complete integration with the Sketchfab 3D viewer. In this a 3D fossil seabed from the lower Devonian geologic period has been digitally reconstructed using micro X-ray computed tomography (microCT) imaging.

The 10th anniversary of the EMBO Workshop: Visualising Biological Data (VIZBI 2019) took place in EMBL in Heidelberg last week. GigaScience Data Scientist Chris Armit was there and was astonished at the cinematic quality of the visualisations that were showcased over this 3-day meeting.

The diffraction limit of a microscope hinders the ability to see single molecules as the optics do not allow the researcher to distinguish between two fluorescently labelled molecules that are less than 200nm apart. As a means of overcoming this barrier, super-resolution microscopy utilises various tricks to go beyond the diffraction limit and image sub-cellular nanostructure in cells and tissues.

A few months ago, I wasn’t sure what to expect when looking at fluorescence microscopy images in published papers. I looked at the accompanying graph to understand the data or the point the authors were trying to make. Often, the graph represents one or more measures of the so-called co-localization, but I couldn’t figure out how to interpret them. It turned out; reading the images is simple.

*Interactive, downloadable and 3D printable scans of newly discovered hermit crabs are now available in GigaDB  using MicroCT technology data. In this latest GigaBlog we let you inspect this data too, as well as provide a Q&A with the first author Jannes Landschoff on its potential utility.

The new magick package is an ambitious effort to modernize and simplify high-quality image processing in R. It wraps the ImageMagick STL which is perhaps the most comprehensive open-source image processing library available today. The ImageMagick library has an overwhelming amount of functionality. The current version of Magick exposes a decent chunk of it, but being a first release, documentation is still sparse.

A new portrait of Obama shows a spineless, slimy, gutter dweller, and in GigaScience today we give you unprecedented insight into what makes them tick. Don’t worry, we haven’t encroached upon Fox News to provide partisan political commentary for the US elections, we are talking about the Obama genus of leaf-shaped Planerians from South America.

Here we present a guest blog by our Editorial Board Member Russell Poldrack, Professor of Psychology at Stanford University, who highlights the challenges and opportunities surrounding imaging data to enable the neuroscience community to “stand on the shoulders of giants”, and an announcement on our new fMRI series. The sharing of neuroimaging data is an idea whose time has finally come, but many challenges remain.

The rate of species extinction has lent increasing urgency to the description of new species, but in this supposedly networked “big data” era the process of cataloging the rich tapestry of life has changed little since the time of Linnaeus.