AIMC Topic: Zebrafish
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Low-Invasive Cell Injection based on Rotational Microrobot.
Advanced biosystems
Apr 1, 2019
The advancement of cell injections has created a need for accurate, efficient, and low-invasive injections. However, the conventional approaches to reduce cell damage during penetration, mainly optimization of micropipette tips and vision-based autom...
Zebrafish Embryo Vessel Segmentation Using a Novel Dual ResUNet Model.
Computational intelligence and neuroscience
Feb 3, 2019
Zebrafish embryo fluorescent vessel analysis, which aims to automatically investigate the pathogenesis of diseases, has attracted much attention in medical imaging. Zebrafish vessel segmentation is a fairly challenging task, which requires distinguis...
Deep learning image recognition enables efficient genome editing in zebrafish by automated injections.
PloS one
Jan 7, 2019
One of the most popular techniques in zebrafish research is microinjection. This is a rapid and efficient way to genetically manipulate early developing embryos, and to introduce microbes, chemical compounds, nanoparticles or tracers at larval stages...
DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning.
BMC bioinformatics
Dec 31, 2018
BACKGROUND: N6-methyladensine (m6A) is a common and abundant RNA methylation modification found in various species. As a type of post-transcriptional methylation, m6A plays an important role in diverse RNA activities such as alternative splicing, an ...
High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology.
Nature communications
Dec 3, 2018
Technologies for mapping the spatial and temporal patterns of neural activity have advanced our understanding of brain function in both health and disease. An important application of these technologies is the discovery of next-generation neurotherap...
Performance of convolutional neural networks for identification of bacteria in 3D microscopy datasets.
PLoS computational biology
Dec 3, 2018
Three-dimensional microscopy is increasingly prevalent in biology due to the development of techniques such as multiphoton, spinning disk confocal, and light sheet fluorescence microscopies. These methods enable unprecedented studies of life at the m...
Machine learning based classification of cells into chronological stages using single-cell transcriptomics.
Scientific reports
Nov 21, 2018
Age-associated deterioration of cellular physiology leads to pathological conditions. The ability to detect premature aging could provide a window for preventive therapies against age-related diseases. However, the techniques for determining cellular...
Emergence of spontaneous assembly activity in developing neural networks without afferent input.
PLoS computational biology
Sep 28, 2018
Spontaneous activity is a fundamental characteristic of the developing nervous system. Intriguingly, it often takes the form of multiple structured assemblies of neurons. Such assemblies can form even in the absence of afferent input, for instance in...
A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters.
Nature chemical biology
Feb 26, 2018
We developed a new way to engineer complex proteins toward multidimensional specifications using a simple, yet scalable, directed evolution strategy. By robotically picking mammalian cells that were identified, under a microscope, as expressing prote...
How mimetic should a robotic fish be to socially integrate into zebrafish groups?
Bioinspiration & biomimetics
Jan 9, 2018
Biomimetic robots are promising tools in animal behavioural studies. If they are socially integrated in a group of animals, they can produce calibrated social stimuli to test the animal responses. However, the design of such social robots is challeng...
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