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Logan Thrasher Collins

Publications and source records attributed to Logan Thrasher Collins.

3 recordsLinked to original sources

A First Step for Expansion X-Ray Microscopy: Achieving Contrast in Expanded Tissues Sufficient to Reveal Cell Bodies

Existing methods in nanoscale connectomics are at present too slow to map entire mammalian brains. As an emerging approach, expansion microscopy (ExM) has enormous promise, yet it still suffers from throughput limitations. Mapping the human brain and even mapping nonhuman primate brains therefore remain distant goals. While ExM increases effective resolution linearly, it enlarges tissue volume cubically, which dramatically increases imaging time. As a rapid tomographic technique, X-ray microscopy has potential for drastically speeding up large-volume connectomics. But to the best of my knowledge, no group has so far imaged cellular features within expanded tissue using X-ray microscopy. I herein present an early-stage report featuring the first demonstration of X-ray microscopy reconstruction of cell bodies within expanded tissue. This was achieved by combining a modified enzymatic Unclearing technique with a metallic gold stain and imaging using a laboratory X-ray microscope. I emphasize that a great deal of work remains to develop "expansion X-ray microscopy" (ExXRM) to the point where it can be useful for connectomics since the current iteration of ExXRM only resolves cell bodies and not neurites due to extensive off-target staining. Additionally, the current method must be modified to accommodate for the challenges of synchrotron X-ray microscopy, a vastly speedier approach than laboratory X-ray microscopy. Nonetheless, achieving X-ray contrast in expanded tissues represents a significant first step towards realizing ExXRM as a connectomics imaging modality.

q-bio.QM

Comparative prospects of imaging methods for whole-brain mammalian connectomics

Mammalian whole-brain connectomes are a foundational ingredient for holistic understanding of brains. Indeed, imaging connectomes at sufficient resolution to densely reconstruct cellular morphology and synapses represents a longstanding goal in neuroscience. Mouse connectomes could soon come within reach while human connectomes remain a more distant yet still worthy goal. Though the technologies needed to reconstruct whole-brain connectomes have not yet reached full maturity, they are advancing rapidly. Close examination of these technologies may help plan connectomics projects. Here, we quantitatively compare imaging technologies that have potential to enable whole-brain mammalian connectomics. We perform calculations on electron microscopy (EM) techniques and expansion light-sheet fluorescence microscopy (ExLSFM) methods. We consider techniques that have sufficient resolution to identify all synapses and sufficient speed to be relevant for whole mammalian brains. We offer this analysis as a resource for those considering how to organize efforts towards imaging whole-brain mammalian connectomes.

q-bio.NC

The case for emulating insect brains using anatomical "wiring diagrams" equipped with biophysical models of neuronal activity

Developing whole-brain emulation (WBE) technology would provide immense benefits across neuroscience, biomedicine, artificial intelligence, and robotics. At this time, constructing a simulated human brain lacks feasibility due to limited experimental data and limited computational resources. However, I suggest that progress towards this goal might be accelerated by working towards an intermediate objective, namely insect brain emulation (IBE). More specifically, this would entail creating biologically realistic simulations of entire insect nervous systems along with more approximate simulations of non-neuronal insect physiology to make "virtual insects." I argue that this could be realistically achievable within the next 20 years. I propose that developing emulations of insect brains will galvanize the global community of scientists, businesspeople, and policymakers towards pursuing the loftier goal of emulating the human brain. By demonstrating that WBE is possible via IBE, simulating mammalian brains and eventually the human brain may no longer be viewed as too radically ambitious to deserve substantial funding and resources. Furthermore, IBE will facilitate dramatic advances in cognitive neuroscience, artificial intelligence, and robotics through studies performed using virtual insects.

q-bio.NC