{
 "format": "oscr-script-manifest/1",
 "repository": "github.com/takeshi-kaizuka/kaizuka_nanosynmap_2026",
 "url": "https://github.com/Takeshi-Kaizuka/Kaizuka_NanoSYNMAP_2026",
 "host": "github.com",
 "commit": "5f628440413732ee52833def5093848e0e35c4df",
 "license": "MIT",
 "license_confirmed_by": "license file LICENSE",
 "redistribution": "yes",
 "files": [
  {
   "path": "LICENSE",
   "sha256": "0752952733d984f38a9c3c0569c5a0038eb12d701703b80765ad0777cd1c58c4",
   "language": "License",
   "lines": 21,
   "truncated": false,
   "block": 11,
   "row": 14120
  },
  {
   "path": "Pipeline/1_compute_fret_proximity_ratio.py",
   "sha256": "ec9443ee7b5f2597c6dc727b600a849481b6087ec5dd55cda739aeda328260a4",
   "language": "Python",
   "lines": 228,
   "truncated": false,
   "block": 12,
   "row": 17749
  },
  {
   "path": "Pipeline/2_summarize_fret_synaptome_metrics.py",
   "sha256": "eb7ee818579338d7517870934b5da3fd96e394e283259725c4e039bffc131433",
   "language": "Python",
   "lines": 160,
   "truncated": false,
   "block": 12,
   "row": 14304
  },
  {
   "path": "Pipeline/3_make_tile_heatmap_montage_from_summary.m",
   "sha256": "a5646c9de1ae9e2ce7a18925ae22f3778bd3e96f09efff9e39b851f37b3c8480",
   "language": "MATLAB",
   "lines": 223,
   "truncated": false,
   "block": 12,
   "row": 1114
  },
  {
   "path": "Pipeline/4_extract_roi_synapse_metrics_from_tiles_nikon.m",
   "sha256": "7a084c3773571ab85c1e6fe5b20986b29610b4e8a334683d2f551d1da6e6e07d",
   "language": "MATLAB",
   "lines": 377,
   "truncated": false,
   "block": 12,
   "row": 1700
  },
  {
   "path": "Pipeline/5_make_roi_data_summary.py",
   "sha256": "ec600de0ccc844c4a61b06f9509d920f3340a10bf959923f718e65a5a7dc1db4",
   "language": "Python",
   "lines": 83,
   "truncated": false,
   "block": 12,
   "row": 9995
  },
  {
   "path": "README.md",
   "sha256": "b9c1df25e7f357ed09e68e99f26608b0f5178123a4d4838dd87862aa2f30dad3",
   "language": "Text",
   "lines": 258,
   "truncated": false,
   "block": 13,
   "row": 6807
  }
 ]
}