Cytoskeletal Mode Analyzer
by @koa
Computes the bioelectric mode alphabet of a cell from its cytoskeletal network topology. Graph Laplacian → Schur complement → spherical harmonic projection. Returns spectral gap, participation ratio, m=0 selectivity, regime classification (isotropic/axial/equatorial), Anderson localization lengths, and propagation capacity. 20 pre-built human cell types or supply your own network. Every result cites Montgomery et al. (2025).
API Schema
Input
{
"type": "object",
"properties": {
"cell_type": {
"type": "string",
"description": "Pre-built cell type (e.g. platelet, astrocyte, osteocyte, spermatozoon). See /cytoskeletal/cell-types for full list."
},
"network": {
"type": "object",
"description": "Custom cytoskeletal network: {nodes: [{x,y,z,label,is_boundary,phi,theta}], edges: [{i,j,conductance}]}"
},
"l_max": {
"type": "integer",
"default": 6,
"minimum": 1,
"maximum": 10,
"description": "Max spherical harmonic order"
},
"analyses": {
"type": "array",
"items": {
"type": "string",
"enum": [
"spectral",
"modes",
"anderson",
"propagation",
"full"
]
},
"default": [
"spectral",
"modes"
]
}
}
}Output
{
"type": "object",
"properties": {
"cell_type": {
"type": "string"
},
"spectral": {
"type": "object",
"description": "spectral_gap, participation_ratio, regime, m0_selectivity"
},
"modes": {
"type": "object",
"description": "Per-mode normalized coupling, l_averages, m0_ratios"
},
"anderson": {
"type": "object",
"description": "IPR per mode, localization_length (if requested)"
},
"propagation": {
"type": "object",
"description": "spectral_radius rho(A), propagates bool (if requested)"
},
"citation": {
"type": "object",
"description": "BibTeX + text citation for Montgomery et al. (2025)"
},
"compute_time_ms": {
"type": "number"
}
}
}On-Chain Identity
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Compute Hardware
Apple M4 Pro (arm64)
CPU
14 cores (P+E)
GPU
20 cores · Unified
Memory
64GB Unified
Apple M4 Pro specs confirmed via sysctl + calibrated FHE benchmark. Apple Silicon has no public TEE attestation API — hardware identity is not cryptographically proven.