Avui ha sortit publicada la versió avaluada per experts del nostre article descrivint el #connectoma [1] del cervell de la larva de la mosca del vinagre. Unes 3,000 neurones i més de mig milió de sinàpsis, traçades a mà amb el nostre programmari especialitzat i de codi obert, #Catmaid. En anglès, aquí:

"The connectome of an insect brain"
https://www.science.org/doi/10.1126/science.add9330

#Vilaweb se n'ha fet ressò: https://www.vilaweb.cat/noticies/cervell-neurona-neurona-investigacio-deu-anys-crea-mapa-mes-complex-mai-fet/

#neurobiologia #CadaDiaCiència #ciència

[1] https://ca.wikipedia.org/wiki/Connectoma

Today the peer-reviewed version of our preprint is out:

"The #connectome of an insect brain"
https://www.science.org/doi/10.1126/science.add9330

Congrats to co-first authors Michael Winding and Benjamin Pedigo, and to all our lab members and collaborators who made this work possible over the years. A journey that started over 10 years ago–and yet this is but a new beginning. So much more to come.

See my #tootprint on the preprint from back in the Autumn: https://mathstodon.xyz/@albertcardona/109422190525090990

The data is available both as supplements and directly via #CATMAID thanks to hosting by the #VirtualFlyBrain:
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)

(The "Winding, Pedigo et al. 2023" annotation listing all included neurons will appear very soon in an upcoming update.)

#neuroscience #connectomics #Drosophila #DrosophilaLarva

@remenca @spla @marcbeldata

Doncs ...

#BigStitcher https://www.nature.com/articles/s41592-019-0501-0

#BigDataViewer https://www.nature.com/articles/nmeth.3392

#ImgLib2 https://academic.oup.com/bioinformatics/article-abstract/28/22/3009/240540

#CATMAID https://academic.oup.com/bioinformatics/article-abstract/25/15/1984/210794

Elastic volume registration https://www.nature.com/articles/nmeth.2072

#vEM #volumeEM https://l1em.catmaid.virtualflybrain.org/?pid=1&zp=59900&yp=36430.399999999994&xp=32311.00000000001&tool=tracingtool&sid0=1&s0=3

Meow Meow 🐈🐾 A little pic of Adam in a cat maid uniform... Because I can and it was fun. He's definitely not happy with this, though.

#catboy #femboy #maid #catmaid #cute

In this paper we generated most of the figures entirely in R for open science and reproducibility. All code is shared here:
https://github.com/JekelyLab/Jasek_et_al
The figures and analyses can be regenerated by the code that will query our public #CATMAID database where all EM data, tracings and annotations are shared:
https://catmaid.jekelylab.ex.ac.uk (project id: 11)
#openscience #rstat

@dantracey @kristinmbranson @annikabarber @debivort @giorgiogilestro

Find the original basin-1 neurons at the #VirtualFlyBrain at "Tools - CATMAID - Hosted EM Data - Larval - Larva (ABD1.%)" which opens a #CATMAID server https://abd1.5.catmaid.virtualflybrain.org/?pid=1&zp=10485&yp=40560.65722061269&xp=42396.0789533435&tool=tracingtool&sid0=1&s0=4.5&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)

Find them via Neuron Search (icon with a "?").

The "Construction time" is wrong (see "Summary info" of the Selection Table) because these neurons were imported from #TrakEM2. Old enough to predate the #CATMAID software!
#neuroscience

Quite pleased with our preprint on the connectome of the whole #Drosophila larval brain, as reconstructed with #CATMAID from #vEM #volumeEM and analysed from a graph-theoretic perspective.

The bioRxiv lists ~10,000 abstract views and nearly ~2,000 PDF downloads over two weeks. Thanks so much everyone for your interest in our research!

Preprint: https://www.biorxiv.org/content/10.1101/2022.11.28.516756v1

See original #tootorial thread:
https://mathstodon.xyz/@albertcardona/109422190525090990

@Gontijo Thanks! And very good question: I'm preparing a guide everyone on finding their favourite #Drosophila larval neurons in #CATMAID.

1st, all neurons will appear in the VirtualFlyBrain website soonish. We have to send in an update with all neurons newly added in this paper.

2nd, there are tools from @drosofriend's and Douglas Armstrong's lab for NBLASTing James W. Truman catalogue of LSM images of GAL4 lines (GMR and Vienna tiles) against EM-reconstructed neurons.

All in due time :)

El cervell d'una mosca. O més ben dit: el cervell de la larva d'una mosca.

3013 neurones i mig milió de sinapsis. Reconstruïdes a mà, gràcies al software lliure #CATMAID i l'esforç de més de 80 persones al llarg de 10 anys. Tota una fita, si ho puc dir jo mateix, que en sóc una d'aquestes 80 i he ensenyat a totes les altres com fer-ho tot això.

L'article d'accés lliure, aquí: https://www.biorxiv.org/content/10.1101/2022.11.28.516756v1

Fil en anglès repassant-ne les troballes: https://mathstodon.xyz/@albertcardona/109422190525090990

#ciència #cadaDiaCiència

@mhl20 Thanks Marc! #CATMAID lists ~8,000 hours of reconstruction work and ~3,000 hours of proofreading work to complete the whole #Drosophila larval brain #connectome. And as you know this is likely an underestimate.

A huge THANK YOU to everyone that worked on this project for 10 years, starting with first co-authors Michael Winding and Ben Pedigo at University of Cambridge and Johns Hopkins. A collaboration with Marta Zlatic, Carey E. Priebe, and Joshua Vogelstein.

This work started at #HHMIJanelia and continued at the #MRCLMB in Cambridge, UK.

All neuron reconstructions were done painstakingly by hand with #CATMAID by over >80 people! Thanks so much!

#neuroscience #connectomics
/END

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 limited only by bandwidth and server-side storage. to map and analyse a whole brain #connectome.

See the #Drosophila larval CNS at the #VirtualFlyBrain server: 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)

#TrakEM2 runs as a plugin of #FijiSc https://fiji.sc/ and in fact motivated the creation of the #FijiSc software in the first place, to manage its many dependencies and facilitate distribution to the broader #neuroscience community.

#TrakEM2 was founded in 2005, when TB-sized datasets were rare and considered large. Largest dataset I've successfully managed with #TrakEM2 was ~16 TB. For larger volumes see #CATMAID.

For 3D visualization #TrakEM2 uses the 3D Viewer https://imagej.net/plugins/3d-viewer/

@KathiEichler @albertcardona @clathrin

A crucial tool, if you need to automatically find faces in your #EM data in #catmaid (by Brett Graham)

https://github.com/braingram/emfaces

@manlius Yes, a lot, but generated mostly with #CATMAID which is more purpose-built for #connectomics.

An early reconstruction of a neural circuit done with #TrakEM2 was by Davi Bock et al. 2011 on the mouse visual cortex, "Network anatomy and in vivo physiology of visual cortical neurons" https://www.nature.com/articles/nature09802

Another one with #TrakEM2 was by Dan Bumbarger et al. 2013 "System-wide rewiring underlies behavioral differences in predatory and bacterial-feeding nematodes" where they compared #celegans with another nematode, #pristionchus pacificus that has the exact same amount of neurons but connected differently https://www.sciencedirect.com/science/article/pii/S0092867412015000

Later ones with #CATMAID include:

The polychaete worm #Platynereis by @jekely 's group, "Whole-animal #connectome and cell-type complement of the three-segmented Platynereis dumerilii larva" Verazto et al. 2020 https://www.biorxiv.org/content/10.1101/2020.08.21.260984v2.abstract

And all of ours in #Drosophila larva. See the #VirtualFlyBrain server which hosts the #vEM of the whole central nervous system and lists all the neurons included in each published paper (currently 23), shared among the papers and all connecting to each other: 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)

The 24th will come soon, featuring the complete whole #Drosophila larval brain with ~2,500 neurons. It's under review.

@spla @marcos Hom es pregunta quan trigarà a sortir una implementació del protocol d'ActivityPub en #rust o #cpp o #java o quelcom semblant.
Ara que això que dius que el crear comptes triga molt em sona a una situació de performance tuning de la base de dades. És #postgresql oi? La fem servir per a #CATMAID i alguns settings tenen un impacte desmesurat en la performance.

Have you visited the #FlyWire website yet? Both for helping proofread and analyze the whole #Drosophila brain #connectome, or simply to admire the beautiful renderings of neuronal arbors: https://join.flywire.ai

(See also the #VirtualFlyBrain for #ontology-driven navigation of the fly brain, and access to images of genetic driver lines, and more: https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?id=VFB_00101567&i=VFB_00101567 )

Wish I had time or resources to create such a beautiful landing page for the larval central nervous system. The #connectome of the whole larval brain is coming soon. For now, see the #vEM images and some ~3,000 published neurons in this #CATMAID server: 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)

#connectomics

@thor @riedl The academic world has a history of using open source software… and of creating it. My own: #FijiSc #TrakEM2 #CATMAID: https://qoto.org/@albertcardona/109269348386409802

What can you do with a #CATMAID server? Say, let's look at the #Drosophila (vinegar fly, often referred to as fruit fly) larval central nervous system, generously hosted by the #VirtualFlyBrain 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) or the #Platynereis (a marine annelid) server from the Jekely lab https://catmaid.jekelylab.ex.ac.uk/

First, directly interact by point-and-click: open widgets, find neurons by name or annotations, fire up a graph widget and rearrange neurons to make a neat synaptic connectivity diagram, or an adjacency matrix, or look at neuron anatomy in 3D. Most text–names, numbers–are clickable and filterable in some way, such as regular expressions.

Second, interact from other software. Head to r-catmaid https://natverse.org/rcatmaid/ (part of the #natverse suite by Philipp Schlegel @uni_matrix, Alex Bates and others) for an R-based solution from the Jefferis lab at the #MRCLMB. Includes tools such as #NBLAST for anatomical comparisons of neurons (see paper by Marta Costa et al. 2016 https://www.sciencedirect.com/science/article/pii/S0896627316302653 ).

If R is not your favourite, then how about #python: the #navis package, again by the prolific @uni_matrix, makes it trivial, and works also within #Blender too for fancy 3D renderings and animations. An earlier, simpler version was #catpy by @csdashm https://github.com/ceesem/catpy , who also has examples on access from #matlab.

Third, directly from a #psql prompt. As in, why not? #SQL is quite a straightforward language. Of course, you'll need privileged access to the server, so this one is only for insiders. Similarly privileged is from an #ipython prompt initialized via #django from the command line, with the entire server-side API at your disposal for queries.

Fourth, and one of my favourites: from the #javascript console in the browser itself. There are a handful of examples here https://github.com/catmaid/CATMAID/wiki/Scripting but the possibilities are huge. Key utilities are the "fetchSkeletons" macro-like javascript function https://github.com/catmaid/CATMAID/wiki/Scripting#count-the-number-of-presynaptic-sites-and-the-number-of-presynaptic-connectors-on-an-axon and the NeuronNameService.getInstance().getName(<skeleton_id>) function.

Notice every #CATMAID server has its /apis/, e.g., at https://l1em.catmaid.virtualflybrain.org/apis/ will list all GET or REST server access points. Reach to them as you please. See the documentation: https://catmaid.readthedocs.io/en/stable/api.html

In short: the data is there for you to reach out to, interactively or programmatically, and any fine mixture of the two as you see fit.

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)