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jueves, 21 de noviembre de 2019

Life Science Microscopy | Medical News | Medical Articles | Life Science Microscopy |

	Life Science Microscopy
	The latest life science microscopy news from AZoNetwork

Translational Biophotonics - New Open Access Journal published by Wiley

Translational Biophotonics is a peer-reviewed, open access journal dedicated to translating photonic methods and technologies in all medical areas to solve unmet medical needs in diagnosis and therapy. It provides a platform for integrating translational medical photonics research into clinical practice. Find out more here and submit your paper today.

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TESCAN CLARA: Ideal for imaging of life science samples also in cryo conditions

With life science research development and its efforts to reveal more and more ultrastructural detail, imaging methods need to cover a broad spectra of demanding applications. Recent investigations of cell morphology, development of biocompatible materials, tissue engineering research, microbiology, pharmacology, food and cosmetic studies rely on advanced imaging techniques.

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How Digital Pathology has Developed

Substantial improvements in the way pathology is delivered have long been promised by digital technology. However, uptake has been slow for a number of reasons. A combination of financial constraints, practical obstacles and the mindset of pathologists have hindered its progress. However, the University of Pittsburgh Medical Center have been looking into new ways to deliver these changes in pathology that many people may argue is long overdue.

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	New imaging methods provide unprecedented close-up view of cilia linked to blindness A new study published today by researchers from Baylor College of Medicine and UT Health's McGovern Medical School in the Proceedings of the National Academy of Sciences reveals an unprecedented close-up view of cilia linked to blindness.

	Evaluating Deep Learning Methods for Identifying Nuclei Caicedo et al. have determined an evaluation framework to assess the improvements in fluorescent images of nucleus segmentation achieved by machine learning versus classical approaches. The team revealed that of the two deep learning modes interrogated (DeepCell and U-Net), there was improved accuracy of nuclei segmentation when both methods were trained with a large fluorescence image set.

	AI could help revolutionize pathology laboratories An upgrade in The University of Queensland’s artificial intelligence capabilities could help to revolutionise pathology laboratories across Australia. Professor Brian Lovell said UQ’s high-performance computer, Weiner, was now able to deliver unprecedented performance for image processing and deep learning algorithms, allowing advancements in digital pathology.

	Confocal Reflection Microscopy for Cell Migration Studies Cell migration occurs throughout life as a response to internal and external signals, and can as such be indicative of changes occurring in the body. Imaging this movement and what processes control it can be critical in understanding cell behavior, development, and disease.