Version history
1 version on record. Newest first; the live version sits at the top with a live indicator.
- Live5/17/2026, 4:35:28 PM
bdb54f43aaedContent snapshot
{ "scope": "Whole-mouse-brain TissueCyte+2P imaging (MouseLight)", "claim_text": "The MouseLight platform integrates a high-speed two-photon microscope with serial vibratome sectioning and large-scale image computation to enable whole-mouse-brain reconstruction of axonal arbors as thin as ~100 nm — establishing the methodological baseline for single-neuron projectome work in mouse motor cortex.", "raw_fields": { "n": 0, "doi": "10.7554/elife.10566", "claim": "The MouseLight platform integrates a high-speed two-photon microscope with serial vibratome sectioning and large-scale image computation to enable whole-mouse-brain reconstruction of axonal arbors as thin as ~100 nm — establishing the methodological baseline for single-neuron projectome work in mouse motor cortex.", "cite_key": "Economo2016", "evidence": "Whole-mouse-brain 3D imaging at sub-diffraction axon resolution (100 nm); demonstrated reconstruction of multiple motor-cortex axonal arbors in one mouse.", "effect_size": "reconstruction of axons ≥100 nm diameter spanning entire mouse brain", "text_access": "fulltext", "study_system": "Whole-mouse-brain TissueCyte+2P imaging (MouseLight)", "argument_role": "supporting", "replication_status": "platform-paper", "claim_source_sentence": "We introduce a platform for high-resolution, three-dimensional fluorescence imaging of complete tissue volumes that enables the visualization and reconstruction of long-range axonal arbors. This platform relies on a high-speed two-photon microscope integrated with a tissue vibratome and a suite of computational tools for large-scale image data.", "source_provenance_status": "ok", "replication_evidence_dois": [], "effect_size_source_sentence": "axons with diameters as small as 100 nm arborize in target regions dispersed over many millimeters of tissue." }, "section_id": "section_16", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_16_evidence_package.json", "effect_size": "reconstruction of axons ≥100 nm diameter spanning entire mouse brain", "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-16-synthesis", "source_kind": "review_finding", "source_path": "evidence/section_16_evidence_package.json", "source_refs": [ "paper:b99d7c4a-9270-42c0-b083-2109f9c1eabf" ], "source_span": "We introduce a platform for high-resolution, three-dimensional fluorescence imaging of complete tissue volumes that enables the visualization and reconstruction of long-range axonal arbors. This platform relies on a high-speed two-photon microscope integrated with a tissue vibratome and a suite of computational tools for large-scale image data.", "study_system": "Whole-mouse-brain TissueCyte+2P imaging (MouseLight)", "evidence_refs": [ { "ref": "paper:b99d7c4a-9270-42c0-b083-2109f9c1eabf" } ], "section_title": "16. Synthesis — which computational claims the mouse-cortex E→E empirical record actually supports, where the bottleneck observations are, and what an inhibition-free, single-species, basic-research analytic framing misses", "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" }, "evidence_summary": "Whole-mouse-brain 3D imaging at sub-diffraction axon resolution (100 nm); demonstrated reconstruction of multiple motor-cortex axonal arbors in one mouse.", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "replication_status": "platform-paper", "review_package_ref": "analysis_bundle:ab-d9c479db9be9", "source_artifact_ref": "wiki_page:computationalreviewrecurrence-16-synthesis", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_16_evidence_package.json", "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }