{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Co-plotting split-gal4 line, hemibrain skeleton with flywire dataset"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### This section contains example of split-gal4 line, skeleton from hemibrain dataset and co-plotting with a flywire instance"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Import neccesary library modules now"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import navis\n",
"import fafbseg\n",
"import flybrains"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import numpy as np\n",
"import pandas as pd\n",
"import copy"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import trimesh as tm"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"import navis\n",
"from vfb_connect.cross_server_tools import VfbConnect"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"from pyroglancer.localserver import startdataserver, closedataserver\n",
"from pyroglancer.flywire import flywireurl2dict, flywiredict2url, add_flywirelayer, set_flywireviewerstate\n",
"from pyroglancer.utils import pointcloud2meshes, obj2pointcloud"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"import navis.interfaces.neuprint as neu\n",
"from navis.interfaces.neuprint import NeuronCriteria as NC, SynapseCriteria as SC"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Get the Split-Gal4 line"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Select the gal4 line you are interested in for example, here I choose the line R65G01 from the neuronbridge website [here](https://neuronbridge.janelia.org/search?q=R65G01)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Convert the gal4 line to either a mesh ( a bit efficient) or to a skeleton (involves manual processing)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*Using a mesh object*:
\n",
"Go to the virtualflybrain site like [here](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?id=VFB_00023647&i=VFB_00101567,VFB_00023647) and get the vfb id here: VFB_00023647"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"*Using a skeleton object*:
\n",
"1) Download the above line as *.nrrd* by following the link to the virtualflybrain site like [here](https://v2.virtualflybrain.org/org.geppetto.frontend/geppetto?id=VFB_00023647&i=VFB_00101567,VFB_00023647)
\n",
"2) Use the *.nrrd* file in FiJi and skeletonise using the simple image tracer as illustrated in this video [here](https://youtu.be/xdqAb1fC91I)
\n",
"3) Save the skeletonised file as *.swc* format"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The rest of the tutorial only involves the mesh object based co-visualisation"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'/Users/sri/Documents/Python/pyroglancer'"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(\"__file__\")))))\n",
"BASE_DIR"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# vfb_neuron = navis.read_swc(swc_files, delimiter='\\s+',units = 'um')\n",
"# swc_files = os.path.join(BASE_DIR, 'data/snt_tracings/VFB_00023647_snt_skel-000.swc')\n",
"# navis.health_check(vfb_neuron)\n",
"# vfb_neuron = navis.graph.clinic.merge_duplicate_nodes(vfb_neuron)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"#utility function for transforming vfbids to meshes\n",
"def vfbid2mesh(vfb_id):\n",
" vc = VfbConnect()\n",
" vcinfo = vc.neo_query_wrapper.get_anatomical_individual_TermInfo([vfb_id])\n",
" image_url = vcinfo[0]['channel_image'][0]['image']['image_folder'] + 'volume.obj'\n",
" print('point cloud located at: ', image_url)\n",
" pcd = obj2pointcloud(image_url)\n",
" vfb_mesh = pointcloud2meshes(pcd, algorithm='rollingball')\n",
" return vfb_mesh"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"vfbmeshes_dict = {}"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"point cloud located at: http://www.virtualflybrain.org/data/VFB/i/0002/3647/VFB_00101567/volume.obj\n",
"The mesh is not convex\n"
]
}
],
"source": [
"vfbmeshes_dict['VFB_00023647'] = vfbid2mesh('VFB_00023647')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"point cloud located at: http://www.virtualflybrain.org/data/VFB/i/0002/0203/VFB_00101567/volume.obj\n",
"The mesh is not convex\n"
]
}
],
"source": [
"vfbmeshes_dict['VFB_00020203'] = vfbid2mesh('VFB_00020203')"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"jrc2018u_mesh = navis.Volume(flybrains.JRC2018U.mesh)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"vfbmeshes_dict['VFB_00023647'].name = 'ilPN'\n",
"vfbmeshes_dict['VFB_00023647'].color = 'magenta'"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"vfbmeshes_dict['VFB_00020203'].name = 'DM5'\n",
"vfbmeshes_dict['VFB_00020203'].color = 'red'"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
""
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fig, ax = navis.plot2d([vfbmeshes_dict['VFB_00023647'],jrc2018u_mesh], method='2d')\n",
"fig.gca().invert_yaxis()\n",
"fig"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Set configurations to fetch from data from neuprint"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Client(\"https://neuprint.janelia.org\", \"hemibrain:v1.1\")"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"neuprint_token = os.environ['NEUPRINT_APPLICATION_CREDENTIALS']\n",
"client = neu.Client('https://neuprint.janelia.org/', dataset='hemibrain:v1.1', token=neuprint_token)\n",
"client"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Get the matching skid from neuprint using the info from neuronbridge website like [here](https://neuronbridge.janelia.org/search/lines/R65G01/matches/2711776921103892491)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO - 2021-06-07 08:45:48,706 - utils - NumExpr defaulting to 8 threads.\n"
]
}
],
"source": [
"hemibrain_skel = neu.fetch_skeletons(1912789965, heal=1000, max_threads=30)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Transform them to flywire space"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"#vfb_neuron=navis.xform_brain(vfb_neuron,source='JRC2018U', target='FLYWIRE')"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"vfb2flywiremeshes = {}"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Transform path: JRC2018U -> JRC2018F -> FAFB14um -> FAFB14 -> FAFB14raw -> FLYWIREraw -> FLYWIRE\n"
]
}
],
"source": [
"vfb2flywiremeshes['VFB_00023647'] = navis.xform_brain(vfbmeshes_dict['VFB_00023647'],source='JRC2018U', target='FLYWIRE')"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Transform path: JRC2018U -> JRC2018F -> FAFB14um -> FAFB14 -> FAFB14raw -> FLYWIREraw -> FLYWIRE\n"
]
}
],
"source": [
"vfb2flywiremeshes['VFB_00020203'] = navis.xform_brain(vfbmeshes_dict['VFB_00020203'],source='JRC2018U', target='FLYWIRE')"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Transform path: JRCFIB2018Fraw -> JRCFIB2018F -> JRCFIB2018Fum -> JRC2018F -> FAFB14um -> FAFB14 -> FAFB14raw -> FLYWIREraw -> FLYWIRE\n"
]
}
],
"source": [
"hemibrain2flywire_skel=navis.xform_brain(hemibrain_skel,source='JRCFIB2018Fraw', target='FLYWIRE')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Start the dataserver to host precomputed data"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Closing server at http://127.0.0.1:8000\n",
"Cleaning directory at /private/var/folders/_l/lrfvj_8j3ps0c37ncbr3c8dh0000gn/T/tmpd8yw3_fb\n",
"Serving data from: /var/folders/_l/lrfvj_8j3ps0c37ncbr3c8dh0000gn/T/tmph11kfa8u\n",
"Serving directory at http://127.0.0.1:8000\n"
]
}
],
"source": [
"startdataserver()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Get the url from flywire to append data onto"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"shorturl = 'https://ngl.flywire.ai/?json_url=https://globalv1.flywire-daf.com/nglstate/5169621741076480'\n",
"#This flywire segments has some stuff similar (in blue), you will notice their closeness in the final plot"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Add bodyids to flywire layers"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
"# vfb_neuron.id = 1234\n",
"# matchingneurons = navis.NeuronList(vfb_neuron)\n",
"# matchingneurons += hemibrain2flywire_skel"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/private/var/folders/_l/lrfvj_8j3ps0c37ncbr3c8dh0000gn/T/tmph11kfa8u/precomputed/hemibrain_1912789965/skeletons/1912789965\n",
"creating: /private/var/folders/_l/lrfvj_8j3ps0c37ncbr3c8dh0000gn/T/tmph11kfa8u/precomputed/hemibrain_1912789965/skeletons/seg_props\n",
"{'1912789965': ['#ff0000']}\n",
"flywire url at: https://ngl.flywire.ai/?json_url=https://globalv1.flywire-daf.com/nglstate/5828375906091008\n"
]
}
],
"source": [
"tmpviewer = add_flywirelayer(flywireurl2dict(shorturl), layer_kws = {'type': 'skeletons',\n",
" 'source': hemibrain2flywire_skel,\n",
" 'color': ['red'],\n",
" 'name':'hemibrain_1912789965'\n",
" #'space': 'FAFBv14.1',\n",
" #'annotationstatetype': 'precomputed'\n",
" }) \n",
"#'alpha': 0.3, doesn't work yet in skeleton layers.."
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"vfb2flywiremeshes['VFB_00023647'].id = 23647\n",
"vfb2flywiremeshes['VFB_00020203'].id = 20203"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'VFB_00023647': ,\n",
" 'VFB_00020203': }"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"vfb2flywiremeshes"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"mesh/23647\n",
"Seg id is: 23647\n",
"Full filepath: /private/var/folders/_l/lrfvj_8j3ps0c37ncbr3c8dh0000gn/T/tmph11kfa8u/precomputed/vfb_ilPN/mesh/23647\n",
"creating: /private/var/folders/_l/lrfvj_8j3ps0c37ncbr3c8dh0000gn/T/tmph11kfa8u/precomputed/vfb_ilPN/mesh/segment_properties\n",
"creating: /private/var/folders/_l/lrfvj_8j3ps0c37ncbr3c8dh0000gn/T/tmph11kfa8u/precomputed/vfb_ilPN/mesh/segment_names\n",
"flywire url at: https://ngl.flywire.ai/?json_url=https://globalv1.flywire-daf.com/nglstate/5341474052898816\n"
]
}
],
"source": [
"tmpviewer = add_flywirelayer(flywireurl2dict(tmpviewer), layer_kws = {'type': 'volumes','name': 'vfb_' + vfbmeshes_dict['VFB_00023647'].name,\n",
" 'source': vfb2flywiremeshes['VFB_00023647'],'color': 'magenta'})"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"mesh/20203\n",
"Seg id is: 20203\n",
"Full filepath: /private/var/folders/_l/lrfvj_8j3ps0c37ncbr3c8dh0000gn/T/tmph11kfa8u/precomputed/vfb_DM5/mesh/20203\n",
"creating: /private/var/folders/_l/lrfvj_8j3ps0c37ncbr3c8dh0000gn/T/tmph11kfa8u/precomputed/vfb_DM5/mesh/segment_properties\n",
"creating: /private/var/folders/_l/lrfvj_8j3ps0c37ncbr3c8dh0000gn/T/tmph11kfa8u/precomputed/vfb_DM5/mesh/segment_names\n",
"flywire url at: https://ngl.flywire.ai/?json_url=https://globalv1.flywire-daf.com/nglstate/4650243190685696\n"
]
}
],
"source": [
"# if you want to add the next vfb neuron..\n",
"tmpviewer = add_flywirelayer(flywireurl2dict(tmpviewer), layer_kws = {'type': 'volumes','name': 'vfb_' + vfbmeshes_dict['VFB_00020203'].name,\n",
" 'source': vfb2flywiremeshes['VFB_00020203'],'color': 'blue'})"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"flywire url at: https://ngl.flywire.ai/?json_url=https://globalv1.flywire-daf.com/nglstate/5829114439139328\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"127.0.0.1 - - [07/Jun/2021 08:52:21] \"GET /precomputed/hemibrain_1912789965/skeletons//info HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [07/Jun/2021 08:52:21] \"GET /precomputed/vfb_ilPN/mesh/info HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [07/Jun/2021 08:52:21] \"GET /precomputed/vfb_DM5/mesh/info HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [07/Jun/2021 08:52:21] \"GET /precomputed/vfb_ilPN/mesh/23647:0 HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [07/Jun/2021 08:52:21] \"GET /precomputed/vfb_DM5/mesh/20203:0 HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [07/Jun/2021 08:52:21] \"GET /precomputed/hemibrain_1912789965/skeletons//1912789965 HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [07/Jun/2021 08:52:21] \"GET /precomputed/vfb_ilPN/mesh/23647 HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [07/Jun/2021 08:52:21] \"GET /precomputed/vfb_DM5/mesh/20203 HTTP/1.1\" 200 -\n",
"127.0.0.1 - - [07/Jun/2021 08:53:42] \"GET /precomputed/hemibrain_1912789965/skeletons//info HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:53:42] \"GET /precomputed/vfb_ilPN/mesh/info HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:53:42] \"GET /precomputed/vfb_DM5/mesh/info HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:53:42] \"GET /precomputed/vfb_DM5/mesh/20203:0 HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:53:42] \"GET /precomputed/hemibrain_1912789965/skeletons//1912789965 HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:53:42] \"GET /precomputed/vfb_ilPN/mesh/23647:0 HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:53:42] \"GET /precomputed/vfb_DM5/mesh/20203 HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:53:42] \"GET /precomputed/vfb_ilPN/mesh/23647 HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:55:44] \"GET /precomputed/hemibrain_1912789965/skeletons//info HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:55:44] \"GET /precomputed/vfb_ilPN/mesh/info HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:55:44] \"GET /precomputed/vfb_DM5/mesh/info HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:55:44] \"GET /precomputed/hemibrain_1912789965/skeletons//1912789965 HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:55:44] \"GET /precomputed/vfb_DM5/mesh/20203:0 HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:55:44] \"GET /precomputed/vfb_ilPN/mesh/23647:0 HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:55:44] \"GET /precomputed/vfb_ilPN/mesh/23647 HTTP/1.1\" 304 -\n",
"127.0.0.1 - - [07/Jun/2021 08:55:44] \"GET /precomputed/vfb_DM5/mesh/20203 HTTP/1.1\" 304 -\n"
]
}
],
"source": [
"#tmpviewer,shorturl = set_flywireviewerstate(tmpviewer, axis_lines=False, bounding_box=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# # if you want to add everything in one tab (source)..\n",
"# tmpviewer = add_flywirelayer(flywireurl2dict(tmpviewer), layer_kws = {'type': 'volumes',\n",
"# 'name': 'vfb_meshes',\n",
"# 'source': list(vfb2flywiremeshes.values()),\n",
"# 'color': ['magenta','blue']})"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Screenshot of the flywire instance"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### The magenta neuron is the gal4line from vfb whereas the red neuron is the corresponding match from hemibrain according to neuronbridge and the green neuron is the corresponding flywire segment that is closest match"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Close the dataserver"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Closing server at http://127.0.0.1:8000\n",
"Cleaning directory at /private/var/folders/_l/lrfvj_8j3ps0c37ncbr3c8dh0000gn/T/tmph11kfa8u\n"
]
}
],
"source": [
"closedataserver()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
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