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Table of Contents
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What is a
Sparse Synapse Resolution Brain Connectivity (SSRBC) Atlas?
Why is an
SSRBC Atlas Needed?
What
Neuroanatomical Facts can be Derived Using an SSRBC Atlas?
Is an SSRBC
Atlas Feasible?
Links to
the "Extreme Neuroanatomy" Research Community

35
Steps in the Creation and Use of a Single Brain Physical Slice Library (SBPSL) (SLIDE
SHOW)
What
Types of Experiments can be Performed by Remote Researchers Using a SBPSL?
Slice
Time vs. Imaging Time
Automated
Taping Lathe-Microtome Prototype Development (SLIDE SHOW)
Movies of Lathe Microtome cutting and tape collection in
action!
20
Second *.AVI file (7 Mbytes)
3
Minute *.AVI file (55 Mbytes)
Software
Development (SLIDE SHOW)
SBPSL
Proposal Paper (PDF Document)
SBPSL Full PowerPoint Presentation
(Warning large file! *.ppt file is 29Mbytes)
SpinalSeries7um.zip
(12 *.bmp files)
Movie: Piloting down a
virtual neuron's dendritic tree using "Dendritic Explorer" test
program (49 Second *.avi file, 22 Mbytes)
Dendritic
Explorer test program overview slide
Contacts
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Is a Sparse Synapse-Resolution Brain Connectivity (SSRBC) Atlas
Feasible?
There is no doubt that creating a
Synapse-Resolution Brain Connectivity Atlas (even a very sparse one which maps
0.01% of the volume of a mouse brain) would require a significant and difficult
advancement over the current state-of-the-art atlas imaging protocols. This goal
will certainly not be achieved using current, essentially manual, microtomy
procedures, nor will it be achieved using the current manual TEM loading
mechanisms and “by hand” photomicrograph process-tracing procedures.
Nonetheless, we believe that the
creation of a Mouse SSRBC Atlas is achievable in this decade with a moderate
level of project funding using a few specialized engineering, microscopy, and
neuroanatomy research laboratories (both academic and private) working in close
collaboration. We speculate further that given an initial success of a mouse
SSRBC Atlas, and its associated advancement of mass-scale slicing, imaging, and
tracing technologies, a larger scale project aimed at creating a macaque monkey
SSRBC Atlas (crucial for direct comparison with vast amounts of past and ongoing
cell recording experiments) and a human SSRBC Atlas would be warranted and
vigorously pursued soon thereafter.
Our core argument for the
feasibility of a SSRBC Atlas is that one has already been successfully created
for the nematode worm C. Elegans. Not only has synapse-resolution electron
micrographs been taken of the entire volume of this small animal, in addition
this raw image data has been successfully used to determine all neurons
(precisely 302 in the hermaphrodite), and virtually all chemical synapses
(~5000), neuromuscular junctions (~2000) and electrical gap junctions (~600).
Further, these identified neurons and synapses have allowed the determination of
a set of complete circuit diagrams of all the major neuronal controlling
networks in the worm. This tour de force of neuroanatomical mapping has produced
the most intimate view of a complete nervous system’s structural connectivity
to date, yet even this masterpiece only provides a provocative glimpse at what
levels of understanding could be reached if such omniscient structural knowledge
was available for an animal model more amenable to parallel electrophysiological
recording experiments as would be the case for the mouse model.
The SSRBC Atlas for
C. Elegans stands as proof that
all the basic slicing, staining, imaging, and process tracing steps exist today
at least in a semi-manual form. In addition, this work stands as proof that such
structure-only data can be enormously useful in the elucidation of neural
control mechanisms underlying behavioral responses. Other research groups have
performed serial reconstruction on small volumes of neural tissue from animals
as complex as mammals, and have successfully provided 3D reconstructions of
intricately branched and interconnected neuropil complete with identification of
synapse location and ultrastructure [Synapse
Web].
Importantly however, the success
the synapse-resolution mapping project for C. Elegans rested heavily on the fact
that C. Elegans (approximately 1mm long and 100mm
in diameter) has only 1x10-5 times as much volume as a mouse brain
and 1x10-8 times as much volume as a human brain. Thus the overwhelming obstacle to the creation of a mammalian SSRBC Atlas is the
shear volume of slices and photomicrographs relative to previous work. After a
careful review of the major manual bottlenecks in the C. Elegans atlas (and
other) protocols we have identified the following as necessary (and hopefully
sufficient) process changes needed to increase the effective synapse-resolution
imaged volume by the several orders of magnitude needed.
Technological
and Process Changes Needed to Make an SSRBC Atlas Feasible:
 | Only 1/10,000 of the total volume need be imaged
[1]
- A
mammalian brain has highly repetitive neural circuitry (compared to C. Elegans)
and only a tiny fraction of a mammalian brain’s neurons and connections would
need to be traced in order to elucidate the full statistics of its regions,
pathways, and synaptic circuits. Unfortunately, this volume is relatively evenly
distributed across the brain’s total volume and so demands full-volume slicing
and a sparse-directed imaging protocol. |
 |
Reduce total number of slices needing to be cut and handled
by cutting thicker slices (100nm to 1mm)
and imaging using electron tomography – A major hurdle to
synapse-resolution imaging is the fragileness (and shear numbers) of ultrathin
tissue slices. Electron tomography (often using higher voltages than standard
100kV TEM’s) tilts the tissue relative to the electron beam in order to gain
information about the structures of the tissue perpendicular to the slice. This
can allow 10x better z-resolution than the slice thickness, thus reducing the
total number of slices. In addition, thicker slices are more robust to handling
and easier to cut. |
 |
Automate microtome slice cutting via lathe-like spiral
cutting and block-face taping – Traditional microtomes disengage and
reengage the block for each successive slice. A lathe-microtome can cut a
continual spiral of tissue in one smooth, continuous motion. Block-face taping
is a technique in microtomy in which an adhesive tape is bonded to the tissue
block face before cutting. This has the effect making a thin slice as robust as
a thicker slice would be, and at the same time provides a holding mechanism for
the newly sliced tissue. Note: Adhesives interfere with TEM imaging so more
specific modifications to standard block-face taping must be made (along with significant
process development research) to make this technique viable. |
 |
Automate microtome slice retrieval by collecting cut slices
on a tape during continuous cutting procedure – Standard microtomy
work involves the collection of newly cut tissue slices from a water bath
surrounding the knife. This is an intrinsically manual process. Using a tape
(like the block-face tape above) to collect the slices nicely automates this
collection process and provides a medium for tissue storage and random access
imaging. |
 |
Automate TEM loading of multiple samples (and allow random
access) using tape cassette of tissue slices – TEM’s are high vacuum
instruments. In order to load a new sample for imaging requires the breaking of
vacuum and subsequent pump-down. This is incredibly time consuming. A “tape
cassette” like device can prevent the need for breaking vacuum and can allow
fast random access to any slice on a single tissue tape. The tape is feed
through the TEM such that it passes through the path of the electron beam. |
 |
Use complete MRI and LM (light microscope) atlases of same
brain to complement and help register TEM sparse atlas – All cell
bodies and myelinated axons can be imaged directly using only a 1um resolution
LM atlas. TEM imaging need only be performed on dendritic processes and axonal
arbors where synapses occur. This further reduces the total amount of TEM images
that must be performed to map out a particular neural circuit, and it allows the
precise slice needing to be imaged to be determined in the LM atlas before TEM
loading and imaging begins, obviating the need for scanning large areas in the
TEM. |
 |
Use voxel-based automatic neural tracing algorithms on the
LM and TEM images to preclude hand-tracing and to automatically steer TEM
imaging – Automating the 3D reconstruction process is a difficult
proposition and significant research has been put toward this goal in the past
with some success. Automating tracing is even more important when using
sparse-directed imaging since some experiments require steering the TEM imaging,
in order to follow a particular neural process, without the need for human
intervention. (see Types
of Experiments that can be performed using a Single Brain Physical Slice
Library) |
 |
Use the Single Brain Physical Slice Library
(SBPSL) paradigm
to invite collaboration (and cost sharing) of neuroanatomical specialists in an
online collective brain mapping experiment – A significant barrier to
the successful creation and use of a mammalian SSRBC Atlas is the need for many
neuroanatomical specialists (who are experts in the know neural circuitry of
particular brain regions) to collaborate together in order to intelligently
guide the sparse imaging process. Given the technological slicing, imaging, and
tracing infrastructure described above, the whole process could be made
available online for remote operation (a SBPSL). This would allow researchers
with specific brain connectivity questions to logon and create batch-imaging
jobs specific to their questions. The most exciting prospect is that one
researcher could follow up a previous researcher’s mapping experiment by
imaging and tracing processes connected to the exact same neurons as the
previous study. |
In light of these new slicing,
imaging, and tracing technologies, as well as the realization that
sparse-directed imaging can reduce the total imaging load by many orders of
magnitude, we believe that the creation of a mouse SSRBC Atlas may be feasible
in the near future. Given its enormous potential to advance neuroscientific
understanding, such an endeavor should certainly be looked at and considered
carefully.

This estimate of 1/10,000
is by necessity very crude, but is meant to be conservative (i.e. imaging an
even smaller fraction of a highly redundant mammalian brain using
sparse-directed imaging should provide the statistics of all regions,
pathways, and local neuronal circuits). Back-of-the-envelope calculation for
a human brain:
If we assume the human brain contains on the order of
1000 distinct processing regions, and the equivalent of 100 full neurons
needs to be imaged in each of these regions in order to completely
determine the statistical connectivity of synaptic circuits and pathways,
then only 100,000 of the human brain’s 100 billion neurons would need to
be imaged in order to generate a complete neural connectivity database.
Assume that the directed (process-following) imaging of a neuron is only 1%
efficient (i.e. that 99% of the volume imaged while following a neural
process does not belong to that neuronal process itself). This would mean
that a volume equivalent of 10 million neurons would need to be imaged to
complete this task. By this very crude estimate, only 0.01% of the human
brain’s volume would need to be imaged. This is an approximate volume of
only 140mm3 or about the size of a frog’s brain. It is this
four-order-of-magnitude reduction in imaging volume that makes the prospect
of mapping a human brain’s connectivity at the ultrastructure level
feasible in time and cost. Similar estimates can be computed for a mouse
brain with slightly reduced advantage. See Types
of Experiments that can be performed using a Single Brain Physical Slice
Library for fuller explanation of sparse-directed imaging protocol.

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