Comment in 2018

Developments in imaging tools are making it possible to record activity from both large neuronal populations and subcellular components in freely moving animals. Although these developments are enabling relationships between brain activity and complex behaviors to be explored, many challenges need to be overcome before the potential of the freely moving animal can be fully utilized.

The development of systems combining rapid volumetric imaging with three-dimensional tracking has enabled the measurement of brain-wide dynamics in freely behaving animals such as worms, flies, and fish. These advances provide an exciting opportunity to understand the organization of neural circuits in the context of voluntary and natural behaviors. In this Comment, we highlight recent progress in this burgeoning area of research.

One major challenge in neuroscience is to uncover how defined neural circuits in the brain encode, store, modify, and retrieve information. Meeting this challenge comprehensively requires tools capable of recording and manipulating the activity of intact neural networks in naturally behaving animals. Head-mounted miniature microscopes are emerging as a key tool to address this challenge. Here we discuss recent work leading to the miniaturization of neural imaging tools, the current state of the art in this field, and the importance and necessity of open-source options. We finish with a discussion on what the future may hold for miniature microscopy.

Inbred mice are preferred over outbred mice because it is assumed that they display less trait variability. We compared coefficients of variation and did not find evidence of greater trait stability in inbred mice. We conclude that contrary to conventional wisdom, outbred mice might be better subjects for most biomedical research.

Public data archives are the backbone of modern biological research. Biomolecular archives are well established, but bioimaging resources lag behind them. The technology required for imaging archives is now available, thus enabling the creation of the first public bioimage datasets. We present the rationale for the construction of bioimage archives and their associated databases to underpin the next revolution in bioinformatics discovery.