AIMC Topic: Green Fluorescent Proteins
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Democratized image analytics by visual programming through integration of deep models and small-scale machine learning.
Nature communications
Oct 7, 2019
Analysis of biomedical images requires computational expertize that are uncommon among biomedical scientists. Deep learning approaches for image analysis provide an opportunity to develop user-friendly tools for exploratory data analysis. Here, we us...
Machine Learning Based Real-Time Image-Guided Cell Sorting and Classification.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Apr 8, 2019
Cell classification based on phenotypical, spatial, and genetic information greatly advances our understanding of the physiology and pathology of biological systems. Technologies derived from next generation sequencing and fluorescent activated cell ...
Machine-Learning-Guided Mutagenesis for Directed Evolution of Fluorescent Proteins.
ACS synthetic biology
Aug 20, 2018
Molecular evolution based on mutagenesis is widely used in protein engineering. However, optimal proteins are often difficult to obtain due to a large sequence space. Here, we propose a novel approach that combines molecular evolution with machine le...
Automated Planning Enables Complex Protocols on Liquid-Handling Robots.
ACS synthetic biology
Mar 5, 2018
Robotic automation in synthetic biology is especially relevant for liquid handling to facilitate complex experiments. However, research tasks that are not highly standardized are still rarely automated in practice. Two main reasons for this are the s...
A synthetic multi-cellular network of coupled self-sustained oscillators.
PloS one
Jun 29, 2017
Engineering artificial networks from modular components is a major challenge in synthetic biology. In the past years, single units, such as switches and oscillators, were successfully constructed and implemented. The effective integration of these pa...
Construction and characterization of recombinant adenovirus carrying a mouse TIGIT-GFP gene.
Genetics and molecular research : GMR
Dec 29, 2015
Recombinant adenovirus vector systems have been used extensively in protein research and gene therapy. However, the construction and characterization of recombinant adenovirus is a tedious and time-consuming process. TIGIT is a recently discovered im...
Preparation of Concentrated Chitosan/DNA Nanoparticle Formulations by Lyophilization for Gene Delivery at Clinically Relevant Dosages.
Journal of pharmaceutical sciences
Dec 23, 2015
Chitosan/DNA polyplexes have been optimized for efficient and safe in vitro and in vivo gene delivery. Clinical application of this technology requires the development of formulations with higher concentrations to reach therapeutic dosages. Polyplexe...
Unsupervised lineage-based characterization of primate precursors reveals high proliferative and morphological diversity in the OSVZ.
The Journal of comparative neurology
Jul 7, 2015
Generation of the primate cortex is characterized by the diversity of cortical precursors and the complexity of their lineage relationships. Recent studies have reported miscellaneous precursor types based on observer classification of cell biology f...
Video Recording
Pattern Recognition, Automated
Immunohistochemistry
Green Fluorescent Proteins
Cell Lineage
Genetic Vectors
Tissue Culture Techniques
Cluster Analysis
Brain
Unsupervised Machine Learning
Macaca fascicularis
Animals
Stem Cells
Hydrozoa
Image Processing, Computer-Assisted
Markov Chains
Stem Cell Niche
Microscopy, Confocal
Scan-less machine-learning-enabled incoherent microscopy for minimally-invasive deep-brain imaging.
Optics express
Jan 17, 2022
Deep-brain microscopy is strongly limited by the size of the imaging probe, both in terms of achievable resolution and potential trauma due to surgery. Here, we show that a segment of an ultra-thin multi-mode fiber (cannula) can replace the bulky mic...
Machine learning modeling of the effects of media formulated with various yeast extracts on heterologous protein production in Escherichia coli.
MicrobiologyOpen
Jun 1, 2021
In microbial manufacturing, yeast extract is an important component of the growth media. The production of heterologous proteins often varies because of the yeast extract composition. To identify why this reduces protein production, the effects of ye...
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