- claim_text
Quantitative array tomography of a ~1 × 0.83 × 0.21 mm³ volume of mouse S1 enables synapse-level mapping of thalamocortical inputs onto whole L5 pyramidal cells, providing a quantitative anatomical method scalable to entire neuron dendritic trees.
- raw_fields
{
"n": 0,
"doi": "10.3389/fncir.2013.00177",
"claim": "Quantitative array tomography of a ~1 × 0.83 × 0.21 mm³ volume of mouse S1 enables synapse-level mapping of thalamocortical inputs onto whole L5 pyramidal cells, providing a quantitative anatomical method scalable to entire neuron dendritic trees.",
"cite_key": "Rah2013",
"evidence": "Large-scale array tomography volume reconstruction in mouse S1 with quantitative thalamocortical-synapse mapping onto L5 pyramidal neurons; parallel EM validation in L4.",
"effect_size": "Reconstructed volume: ~0.17 mm³ (1 × 0.83 × 0.21 mm).",
"text_access": "abstract_only",
"study_system": "Mouse S1; large-scale array-tomography (~0.17 mm³ volume); EM cross-validation",
"argument_role": "supporting",
"replication_status": "single_study",
"claim_source_sentence": "We then use large-scale array tomography (LSAT) to measure TC synapse distribution on L5 pyramidal neurons in a 1.00 × 0.83 × 0.21 mm(3) volume of mouse somatosensory cortex.",
"source_provenance_status": "non_substring_match",
"replication_evidence_dois": [],
"effect_size_source_sentence": "We then use large-scale array tomography (LSAT) to measure TC synapse distribution on L5 pyramidal neurons in a 1.00 × 0.83 × 0.21 mm(3) volume of mouse somatosensory cortex."
}- source_refs
[
"paper:a3fcf790-bfc9-4b6d-a52d-f08e1ebfbc00"
]
- evidence_refs
[
{
"ref": "paper:a3fcf790-bfc9-4b6d-a52d-f08e1ebfbc00"
}
]- source_policy
{
"mode": "public_source_pointer_with_short_context",
"notes": [
"Local review repositories are read-only inputs.",
"SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
],
"source_commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
"source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}