The web-based open source software #CATMAID was devised as "google maps but for volumes". Documentation at https://catmaid.org and source code at https://github.com/catmaid/CATMAID/

Modern #CATMAID enables hundreds of #neuroscience researchers world wide to collaboratively map neuronal circuits in large datasets, e.g., 100 TB or larger, limited only by bandwidth and server-side storage. The goal: to map and analyse a whole brain #connectome.

Running client-side on #javascript and server-side on #django #python #postgresql, it's a pleasure to use–if I may say so–and easy to hack on to extend its functionality with further widgets.

The first minimally viable product was produced in 2007 by Stephan Saalfeld (what we now refer to, dearly, as "Ice Age CATMAID), who demonstrated to us all that the web, and javascript, where the way to go for distributed, collaborative annotation of large datasets accessed piece-wise. See the original paper: https://academic.oup.com/bioinformatics/article-abstract/25/15/1984/210794

See also public instances at the #VirtulaFlyBrain http://virtualflybrain.org/ particularly under "tools - CATMAID - hosted EM data such as this #Drosophila first instar larval volume of its complete nervous system https://l1em.catmaid.virtualflybrain.org/?pid=1&zp=108250&yp=82961.59999999999&xp=54210.799999999996&tool=tracingtool&sid0=1&s0=2.4999999999999996&help=true&layout=h(XY,%20%7B%20type:%20%22neuron-search%22,%20id:%20%22neuron-search-1%22,%20options:%20%7B%22annotation-name%22:%20%22papers%22%7D%7D,%200.6)