Publications by authors named "Ichiro Sase"

Segmentation of three-dimensional (3D) electron microscopy (EM) image stacks is an arduous and tedious task. Deep convolutional neural networks (CNNs) work well to automate the segmentation; however, they require a large training dataset, which is a major impediment. In order to solve this issue, especially for sparse segmentation, we used a CNN with a minimal training dataset.

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Fluorescence microscopy is used extensively in cell-biological and biomedical research, but it is often plagued by three major problems with the presently available fluorescent probes: photobleaching, blinking, and large size. We have addressed these problems, with special attention to single-molecule imaging, by developing biocompatible, red-emitting silicon nanocrystals (SiNCs) with a 4.1-nm hydrodynamic diameter.

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Article Synopsis
  • Researchers developed a noncontact backscatter-mode near-infrared time-resolved imaging system (noncontact B-TRIS) to improve spatial resolution and depth information for absorbers buried in scattering materials, aimed at functional brain mapping.
  • The system utilizes mode-locked Ti-sapphire lasers for illumination and a specialized camera for detection, successfully imaging a 70 mm area without making contact.
  • Testing with a light-scattering phantom showed that the system can accurately identify the position of buried absorbers with a discrepancy of less than 2 mm, demonstrating its potential for imaging cognitive brain functions.
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Article Synopsis
  • BOLD-fMRI measures brain activity by detecting changes in blood flow and oxygen levels in response to brain activation, which typically results in increased MR signal intensity.
  • Some studies struggle to identify expected brain activation, leading to confusion about fMRI results.
  • The authors categorize brain activation into BOLD-positive, BOLD-negative, and BOLD-silent based on blood flow and oxygen concentration, providing a framework to explain inconsistencies observed in sensory motor studies.
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