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James C. Bouwer

Researcher at University of Wollongong

Publications -  32
Citations -  2064

James C. Bouwer is an academic researcher from University of Wollongong. The author has contributed to research in topics: CMOS sensor & Electron tomography. The author has an hindex of 16, co-authored 29 publications receiving 1827 citations. Previous affiliations of James C. Bouwer include University of California, San Diego & Illawarra Health & Medical Research Institute.

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Journal ArticleDOI

Multicolor and Electron Microscopic Imaging of Connexin Trafficking

TL;DR: This approach was used to show that newly synthesized connexin43 was transported predominantly in 100- to 150-nanometer vesicles to the plasma membrane and incorporated at the periphery of existing gap junctions, whereas older connexins were removed from the center of the plaques into pleiomorphic vesicle of widely varying sizes.
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New Insights on the Structure of Electrochemically Deposited Lithium Metal and Its Solid Electrolyte Interphases via Cryogenic TEM

TL;DR: Inspired by biological imaging techniques, this work demonstrates the power of cryogenic (cryo)-electron microscopy to reveal the detailed structure of EDLi and the SEI composition at the nanoscale while minimizing beam damage during imaging.
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Active pixel sensor array as a detector for electron microscopy.

TL;DR: It is concluded that backscattering in the silicon substrate and re-entering the sensitive epitaxial layer a second time with much lower speed caused the unexpected events, as well as unexpected events at higher absorbed energies.
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Transform-based backprojection for volume reconstruction of large format electron microscope tilt series.

TL;DR: Alignment of the individual images of a tilt series is a critical step in obtaining high-quality electron microscope reconstructions and general methods for producing good alignments are reported, and utilizing the alignment data in subsequent reconstruction steps are reported.
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Automated microscopy system for mosaic acquisition and processing

TL;DR: An automatic mosaic acquisition and processing system for a multiphoton microscope is described for imaging large expanses of biological specimens at or near the resolution limit of light microscopy.