A confocal microscope is a kind of fluorescent microscope used to obtain high-quality 2D and 3D images. The device is most commonly used to view cells and cell structures, but can be used to ...

We performed confocal laser scanning microscopic analyses on the distributions of glycogen ... In addition, 100-μm-thick eosin-stained slices provided 3D structural images more than 30 μm in thickness ...

Although several tissue protocols have been proposed, the high autofluorescence and variable post-mortem conditions of human specimens negatively affect the quality of the images in terms ... in ...

Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm.

(C) Optical section of top layer in (B). Zoom-in views of the selected areas in top right. (D) 3D reconstruction of a half of cleared brain in a Thy1-eGFP mouse brain. The white box represents MIP. (E ...

New 3D printing technology achieves 130-fold better precision, allowing nanoscale control over strength and flexibility in printed materials.

Biological sciences researchers from the U of A have led the publication of a paper that expands our understanding of sensory ...

The college’s Visualizing Science competition finalists include the winning image of a Logistic Map’s Chaotic Portion by an ...

"For example, we could one day capture high-resolution 3D images of the inside of a jet engine while it's operating. Currently, there are no other X-ray sources that can do this," said Hollinger.

Results show that the CNNT backbone and fine-tuning scheme significantly reduces training time and improves image quality, outperforming models trained using only CNNs such as 3D-RCAN and Noise2Fast.

VAN-GAN: Vessel Segmentation Generative Adversarial Network. A tool to segment 3D vascular networks without paired training data.