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Probing molecular diversity and ultrastructure of brain cells with fluorescent aptamers.

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Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

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The authors' code

Python · 1 line · 23 B · MIT

  1. from .constant import *

__init__.py at commit 605e659, under MIT · at the source

Overview

Authors: Xiaotang Lu1,2, Yuelong Wu1, Peter H Li3, Tao Fang4, Richard L Schalek1, Yaxin Su1, Daniel R Berger1, Jeffery D Carter5, Sean Lynch5, Daniel J Schneider5, Shashi Gupta5, Viren Jain3, Nebojsa Janjic5, Jeff W Lichtman1
  1. Department of Molecular and Cellular Biology and The Center for Brain Science, Harvard University, Cambridge, MA USA
  2. Present Address: Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, IL USA
  3. Google Research, Mountain View, CA USA
  4. Program of Cellular and Molecular Medicine, Boston Children’s Hospital, Boston, MA USA
  5. SomaLogic, Boulder, CO USA
Institutions: Harvard University (United States); University of Illinois Urbana-Champaign (United States); Google (United States) (United States); Boston Children's Hospital (United States); SomaLogic (United States) (United States)
Journal: Nature communications, volume 17, issue 1, article 5795
Dates: received 7 September 2023; accepted 2 April 2026; published online 27 April 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41467-026-72180-7 · PMID 42045230 · PMCID PMC13332243 · OpenAlex W4386823352
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: histology / microscopy (modality), cellular / molecular (subfield)
Methods: Evoked potentials, fMRI & imaging
Keywords: Imaging, Cellular neuroscience
MeSH: Aptamers, Nucleotide*, Brain*, Fluorescent Dyes*, Neurons*, Animals, Microscopy, Electron (* major topic)
Topic: Advanced Electron Microscopy Techniques and Applications (Structural Biology, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Funding: NIMH NIH HHS (K99 MH128891, UG3 MH123386, R00 MH128891); NINDS NIH HHS (U19 NS104653)
Citations: not cited yet (Europe PMC); 27 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Repositories

Its files are read in the Code ↔ Paper reader above.

YuelongWu/feabas

License: MIT
State: the link answers, verified on 30 September 2026
Evidence: files inventoried
Commit: 605e6597a834d0a2e82cd331b94d3b4f876c62a9, 14 July 2026
Languages: Python (33)
Size: 43 files, 33 scripts
Software Heritage: not archived
Found in: “Code availability”
Holds: README, license file, environment (setup.py)
Not found: CITATION.cff, tests, continuous integration, documentation
Tools: NumPy (26 files), OpenCV (11 files), SciPy (11 files), Matplotlib (4 files), h5py (2 files), scikit-image (2 files)
Availability: 1 check, the latest on 30 September 2026: the link answers
  • 30 September 2026: the link answers
35 files

google/ffn

License: Apache-2.0
State: the link answers, verified on 30 September 2026
Evidence: files inventoried
Commit: b8df2d96d7c8da057fd2702ced19732a08ab6ae4, 9 September 2026
Languages: Python (63), Jupyter (2)
Size: 87 files, 65 scripts
Software Heritage: archived
Found in: “Data Availability Statement”
Holds: README, license file, environment (pyproject.toml, requirements.txt, setup.py), tests, continuous integration, documentation, 2 notebooks
Not found: CITATION.cff
Tools: NumPy (37 files), TensorFlow (26 files), SciPy (15 files), JAX (10 files), h5py (6 files), Pillow (4 files), scikit-image (4 files), pandas (2 files), Matplotlib (1 file), NetworkX (1 file)
Availability: 1 check, the latest on 30 September 2026: the link answers
  • 30 September 2026: the link answers
67 files
At the source: github.com/google/ffn

google/neuroglancer

License: Apache-2.0
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Commit: da443d25610b23c40c4a46ed9b92129e6203e68e, 22 September 2026
Languages: TypeScript (702), Python (133), C++ (23), JavaScript (20), Shell (11), C/C++ (6), Go (3), NEURON (1), Jupyter (1), Rust (1), C (1)
Size: 2,060 files, 902 scripts
Software Heritage: archived
Found in: “Data Availability Statement”
Holds: README, license file, environment (pyproject.toml, setup.py, uv.lock, docs/pyproject.toml, python/Dockerfile, src/mesh/draco/Dockerfile, src/sliceview/compresso/Dockerfile, src/sliceview/crackle/Dockerfile, src/sliceview/jxl/compile.Dockerfile, src/sliceview/jxl/optimize.Dockerfile, src/sliceview/png/Dockerfile), tests, continuous integration, documentation, 1 notebook
Not found: CITATION.cff
Tools: NumPy (67 files), Pillow (3 files), SciPy (3 files), pandas (1 file)
Availability: 1 check, the latest on 27 September 2026: the link answers
  • 27 September 2026: the link answers
904 files

Code availability statement

The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s41467-026-72180-7.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 3 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 1,000 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s41467-026-72180-7.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 14 authors, 2 keywords, 6 MeSH terms, 2 funders, 25 references.

Cite

This paper

Lu, X., Wu, Y., Li, P. H., Fang, T., Schalek, R. L., Su, Y., Berger, D. R., Carter, J. D., Lynch, S., Schneider, D. J., Gupta, S., Jain, V., Janjic, N., & Lichtman, J. W. (2026). Probing molecular diversity and ultrastructure of brain cells with fluorescent aptamers. Nature communications, 17(1), 5795. https://doi.org/10.1038/s41467-026-72180-7

BibTeX

@article{lu2026probing,
author = {Lu, Xiaotang and Wu, Yuelong and Li, Peter H and Fang, Tao and Schalek, Richard L and Su, Yaxin and Berger, Daniel R and Carter, Jeffery D and Lynch, Sean and Schneider, Daniel J and Gupta, Shashi and Jain, Viren and Janjic, Nebojsa and Lichtman, Jeff W},
title = {{Probing molecular diversity and ultrastructure of brain cells with fluorescent aptamers}},
journal = {Nature communications},
year = {2026},
month = apr,
volume = {17},
number = {1},
pages = {5795},
publisher = {Nature Publishing Group},
issn = {2041-1723},
doi = {10.1038/s41467-026-72180-7},
url = {https://doi.org/10.1038/s41467-026-72180-7},
pmid = {42045230},
pmcid = {PMC13332243}
}

RIS

TY - JOUR
AU - Lu, Xiaotang
AU - Wu, Yuelong
AU - Li, Peter H
AU - Fang, Tao
AU - Schalek, Richard L
AU - Su, Yaxin
AU - Berger, Daniel R
AU - Carter, Jeffery D
AU - Lynch, Sean
AU - Schneider, Daniel J
AU - Gupta, Shashi
AU - Jain, Viren
AU - Janjic, Nebojsa
AU - Lichtman, Jeff W
TI - Probing molecular diversity and ultrastructure of brain cells with fluorescent aptamers
T2 - Nature communications
J2 - Nat Commun
PY - 2026
DA - 2026/04/27
VL - 17
IS - 1
SP - 5795
SN - 2041-1723
PB - Nature Publishing Group
DO - 10.1038/s41467-026-72180-7
UR - https://doi.org/10.1038/s41467-026-72180-7
LA - en
ER -

CSL-JSON

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