Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT

User menu

Search

  • Advanced search
eNeuro

eNeuro

Advanced Search

 

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT
PreviousNext
Research ArticleResearch Article: Methods/New Tools, Novel Tools and Methods

Capillary-Based and Stokes-Based Trapping of Serial Sections for Scalable 3D-EM Connectomics

Timothy J. Lee, Mighten C. Yip, Aditi Kumar, Colby F. Lewallen, Daniel J. Bumbarger, R. Clay Reid and Craig R. Forest
eNeuro 24 February 2020, 7 (2) ENEURO.0328-19.2019; DOI: https://doi.org/10.1523/ENEURO.0328-19.2019
Timothy J. Lee
1Georgia Institute of Technology, G. W. Woodruff School of Mechanical Engineering, Atlanta, GA 30332
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mighten C. Yip
1Georgia Institute of Technology, G. W. Woodruff School of Mechanical Engineering, Atlanta, GA 30332
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Aditi Kumar
1Georgia Institute of Technology, G. W. Woodruff School of Mechanical Engineering, Atlanta, GA 30332
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Colby F. Lewallen
1Georgia Institute of Technology, G. W. Woodruff School of Mechanical Engineering, Atlanta, GA 30332
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daniel J. Bumbarger
2Allen Institute for Brain Science, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
R. Clay Reid
2Allen Institute for Brain Science, Seattle, WA 98109
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Craig R. Forest
1Georgia Institute of Technology, G. W. Woodruff School of Mechanical Engineering, Atlanta, GA 30332
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Craig R. Forest
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    Diagram of diamond knife waterboat with trapping device installed. A, The trapping device, shown within the waterboat, is composed of two semicircular trapping posts and two parallel walls that separate the waterboat into three channels. When the water level is set to a typical cutting level, the channel walls do not protrude significantly from the water; the trapping posts, on the other hand, protrude roughly 1 mm from the nominal water surface, thereby creating curvature-induced capillary interactions (see cross-section view CC). Air needles are attached to the distal end of the waterboat to provide hydrodynamic forces. B, Top view of trapping device, corresponding to the region bounded by the dashed line in A. The air needles supply pressurized air which induce a symmetric water flow pattern with average water velocity, vwater, as shown. The forces trapping the section are modulated by the section size, wsection, the trap width, wtrap, the trap height, htrap (see cross-section view CC), and the average water velocity, vwater. CC, Cross-sectional view of the trapping device at the trapping posts. Outside of the center channel, the water level remains flat, as shown. Near the trapping posts, the water is pins to the height of the trapping posts, htrap, thereby creating local curvature in the water surface.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    CAD model with finite element analysis. A, Isometric view of the trapping device designed in SolidWorks. This model has a trap width of 3.0 mm and a trap height of 0.5 mm. Scale bar: 3 mm. B, Top view of Young–Laplace equation solution domain. The domain is split symmetrically along the centerline, with the left side showing the finite element mesh and the right side showing the finite element solution for the interfacial height. C, Photograph of experimental setup with inset showing the induced curvature between the trapping posts. The trapping device is shown installed in the waterboat with water filled to appropriate height for sectioning. Air needles are mounted on the distal end of the waterboat using a custom fixture, which provide the hydrodynamic forces. A metal tube is shown protruding from the distal end of the waterboat used for modulating water level. Scale bar: 5 mm.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Trap design parameterization experiment and modeling results. A, Single frame showing an individual section trapped within the trapping device. The section is trapped via balance of curvature-induced capillary interactions, Fc (orange), and Stokes drag forces, Fd (green). The calculated centroid (black crosshair) and the defined target (red cross) are shown. The orientation of the x- and y-axes relative to the trapping device is shown in the bottom left. Scale bar: 1 mm. B, Scatter plot of section centroid positions for a single trap design with wtrap = 2.5 mm, htrap = 0.5 mm, wsection = 1.5 mm. Ten sections were individually trapped and their positions recorded over time. For each section, we analyzed its local movement within the trap over 10 s; videos were recorded at 10 fps. All of the centroid positions are shown from all 10 trials (black x). The x-component centroid position distribution is shown above the scatter plot (xst. dev. = 91 μm); the y-component centroid position distribution is shown to the right of the scatter plot (yst. dev. = 62 μm). The centroids are plotted relative to the mean centroid position. Plot axes are given in millimeters. C, Distance between the mean centroid position and target along the y-axis plotted versus the trap height. The mathematical model (black circles) shows a non-linear increase in the distance between the mean centroid position and target along the y-axis as the trap height increases. This trend shows good alignment with our single section (red) and multisection (blue) experiment results (RMSE = 0.27 mm). D, Distance between the mean centroid position and target along the y-axis plotted versus the trap width. The mathematical model (black circles) shows a non-linear decrease in the distance between the mean centroid position and target along the y-axis as the trap width increases, showing good alignment with our single section (red) and multisection (blue) experiment results (RMSE = 0.31 mm).

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Examples of serial sections placed onto conventional light and EM substrates. A, Photograph of 100 serial sections of mouse brain tissue of nominal thickness 60 nm placed onto a silicon wafer. Scale bar: 10 mm. B, Top-view light micrograph of 100 serial sections placed onto a silicon wafer. Sections are placed in a raster-grid formation, with section 1 being on the bottom left corner, section 2 being above section 1, and section 100 at the top right corner. Scale bar: 3 mm. C, Scanning electron micrograph imaged using a multibeam SEM. Myelinated axons can be observed for potential sparse reconstruction of neuronal networks. Scale bar: 10 μm. D, Mosaic low-magnification light micrograph of 52 rat optic nerve serial sections cut at 250 nm and placed onto a glass slide. Sections are stained with toluidine blue for optical contrast. Scale bar: 3 mm. E, Mosaic high-magnification light micrograph of a rat optic nerve section. Individual axons can be observed within the optic nerve. Scale bar: 100 μm. F, Image of three serial sections (nominal thickness 40 nm) placed onto an aluminum substrate with imaging apertures covered with Luxel support film for TEM. The loop end effector used to pick-up and placed sections is shown. Scale bar: 1 mm. G, Representative high-magnification transmission electron micrograph of an ultrathin human cortical brain tissue section. Scale bar: 1 μm.

Back to top

In this issue

eneuro: 7 (2)
eNeuro
Vol. 7, Issue 2
March/April 2020
  • Table of Contents
  • Index by author
  • Ed Board (PDF)
Email

Thank you for sharing this eNeuro article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Capillary-Based and Stokes-Based Trapping of Serial Sections for Scalable 3D-EM Connectomics
(Your Name) has forwarded a page to you from eNeuro
(Your Name) thought you would be interested in this article in eNeuro.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Capillary-Based and Stokes-Based Trapping of Serial Sections for Scalable 3D-EM Connectomics
Timothy J. Lee, Mighten C. Yip, Aditi Kumar, Colby F. Lewallen, Daniel J. Bumbarger, R. Clay Reid, Craig R. Forest
eNeuro 24 February 2020, 7 (2) ENEURO.0328-19.2019; DOI: 10.1523/ENEURO.0328-19.2019

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Share
Capillary-Based and Stokes-Based Trapping of Serial Sections for Scalable 3D-EM Connectomics
Timothy J. Lee, Mighten C. Yip, Aditi Kumar, Colby F. Lewallen, Daniel J. Bumbarger, R. Clay Reid, Craig R. Forest
eNeuro 24 February 2020, 7 (2) ENEURO.0328-19.2019; DOI: 10.1523/ENEURO.0328-19.2019
del.icio.us logo Digg logo Reddit logo Twitter logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Significance Statement
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Conclusion
    • Acknowledgments
    • Footnotes
    • References
    • Synthesis
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • capillary interactions
  • electron microscopy
  • histology
  • hydrodynamic
  • serial sectioning
  • ultrastructure

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

Research Article: Methods/New Tools

  • Universal Guide for Skull Extraction and Custom-Fitting of Implants to Continuous and Discontinuous Skulls
  • Recording Synaptic Transmission from Auditory Mixed Synapses on the Mauthner Cells of Developing Zebrafish
  • Selectively Imaging Cranial Sensory Ganglion Neurons Using AAV-PHP.S
Show more Research Article: Methods/New Tools

Novel Tools and Methods

  • Universal Guide for Skull Extraction and Custom-Fitting of Implants to Continuous and Discontinuous Skulls
  • Recording Synaptic Transmission from Auditory Mixed Synapses on the Mauthner Cells of Developing Zebrafish
  • Selectively Imaging Cranial Sensory Ganglion Neurons Using AAV-PHP.S
Show more Novel Tools and Methods

Subjects

  • Novel Tools and Methods

  • Home
  • Alerts
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Latest Articles
  • Issue Archive
  • Blog
  • Browse by Topic

Information

  • For Authors
  • For the Media

About

  • About the Journal
  • Editorial Board
  • Privacy Policy
  • Contact
  • Feedback
(eNeuro logo)
(SfN logo)

Copyright © 2022 by the Society for Neuroscience.
eNeuro eISSN: 2373-2822

The ideas and opinions expressed in eNeuro do not necessarily reflect those of SfN or the eNeuro Editorial Board. Publication of an advertisement or other product mention in eNeuro should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in eNeuro.