Evidence map›Paper›PMID 35095432›Full record

ReviewFrontiers in neuroanatomy2021

Seeing the Forest and Its Trees Together: Implementing 3D Light Microscopy Pipelines for Cell Type Mapping in the Mouse Brain.

Kyra T Newmaster, Fae A Kronman, Yuan-Ting Wu, Yongsoo Kim

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neuroanatomy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.3field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Chemoarchitectural studies of the rat hypothalamus and zona incerta.bioRxiv : the preprint server for biology · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Developmental Mouse Brain Common Coordinate Framework.bioRxiv : the preprint server for biology · 2023
    Article
  12. Article
  13. Combining tissue clearing and Fluoro-Jade C labeling for neurotoxicity assessments.Experimental biology and medicine (Maywood, N.J.) · 2023
    Article
  14. Review
  15. Review
  16. Review
  17. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Kyra T NewmasterDepartment of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, United States.
Fae A KronmanDepartment of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, United States.
Yuan-Ting WuDepartment of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, United States.
Yongsoo KimDepartment of Neural and Behavioral Sciences, The Pennsylvania State University, Hershey, PA, United States.
Pennsylvania State University · US

Funding

Establishing Common Coordinate Framework for Quantitative Cell Census in Developing Mouse BrainsRF1MH124605 · NIMH · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI GEE, JAMES C, KIM, YONGSOO · 2020 to 2020
$3.8M
Understanding cellular architecture of the neurovascular unit and its function in the whole mouse brainR01NS108407 · NINDS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KIM, YONGSOO · 2018 to 2022
$3.1M
Brain-wide input and output wiring diagram of oxytocin neurons and its function in claustrum-endopiriform complexR01MH116176 · NIMH · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KIM, YONGSOO · 2018 to 2022
$2.4M
NIMH NIH HHS R01 MH116176NIMH NIH HHS RF1 MH124605NINDS NIH HHS R01 NS108407
6 · The paper itself

Abstract

The brain is composed of diverse neuronal and non-neuronal cell types with complex regional connectivity patterns that create the anatomical infrastructure underlying cognition. Remarkable advances in neuroscience techniques enable labeling and imaging of these individual cell types and their interactions throughout intact mammalian brains at a cellular resolution allowing neuroscientists to examine microscopic details in macroscopic brain circuits. Nevertheless, implementing these tools is fraught with many technical and analytical challenges with a need for high-level data analysis. Here we review key technical considerations for implementing a brain mapping pipeline using the mouse brain as a primary model system. Specifically, we provide practical details for choosing methods including cell type specific labeling, sample preparation (e.g., tissue clearing), microscopy modalities, image processing, and data analysis (e.g., image registration to standard atlases). We also highlight the need to develop better 3D atlases with standardized anatomical labels and nomenclature across species and developmental time points to extend the mapping to other species including humans and to facilitate data sharing, confederation, and integrative analysis. In summary, this review provides key elements and currently available resources to consider while developing and implementing high-resolution mapping methods.

Indexed as

brain mappingcell typedata confederationdigital atlasimage analysisimage registrationlight sheet fluorescence microscopyserial two-photon tomography

Identifiers

PMID35095432
PMCPMC8794814
OpenAlexW4206151899

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.