Automated neuron tracing methods: an updated account
L Acciai, P Soda, G Iannello - Neuroinformatics, 2016 - Springer
The reconstruction of neuron morphology allows to investigate how the brain works, which is
one of the foremost challenges in neuroscience. This process aims at extracting the …
one of the foremost challenges in neuroscience. This process aims at extracting the …
BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
BigNeuron is an open community bench-testing platform with the goal of setting open
standards for accurate and fast automatic neuron tracing. We gathered a diverse set of …
standards for accurate and fast automatic neuron tracing. We gathered a diverse set of …
Discovery of the fourth mobile sulfonamide resistance gene
M Razavi, NP Marathe, MR Gillings, CF Flach… - Microbiome, 2017 - Springer
Background Over the past 75 years, human pathogens have acquired antibiotic resistance
genes (ARGs), often from environmental bacteria. Integrons play a major role in the …
genes (ARGs), often from environmental bacteria. Integrons play a major role in the …
APP2: automatic tracing of 3D neuron morphology based on hierarchical pruning of a gray-weighted image distance-tree
H Xiao, H Peng - Bioinformatics, 2013 - academic.oup.com
Motivation: Tracing of neuron morphology is an essential technique in computational
neuroscience. However, despite a number of existing methods, few open-source techniques …
neuroscience. However, despite a number of existing methods, few open-source techniques …
Deep learning segmentation of optical microscopy images improves 3-D neuron reconstruction
Digital reconstruction, or tracing, of 3-D neuron structure from microscopy images is a critical
step toward reversing engineering the wiring and anatomy of a brain. Despite a number of …
step toward reversing engineering the wiring and anatomy of a brain. Despite a number of …
Gotta trace 'em all: A mini-review on tools and procedures for segmenting single neurons toward deciphering the structural connectome
Decoding the morphology and physical connections of all the neurons populating a brain is
necessary for predicting and studying the relationships between its form and function, as …
necessary for predicting and studying the relationships between its form and function, as …
SmartTracing: self-learning-based neuron reconstruction
In this work, we propose SmartTracing, an automatic tracing framework that does not require
substantial human intervention. There are two major novelties in SmartTracing. First, given …
substantial human intervention. There are two major novelties in SmartTracing. First, given …
Rivulet: 3D neuron morphology tracing with iterative back-tracking
The digital reconstruction of single neurons from 3D confocal microscopic images is an
important tool for understanding the neuron morphology and function. However the accurate …
important tool for understanding the neuron morphology and function. However the accurate …
Tomographic brain imaging with nucleolar detail and automatic cell counting
SE Hieber, C Bikis, A Khimchenko, G Schweighauser… - Scientific reports, 2016 - nature.com
Brain tissue evaluation is essential for gaining in-depth insight into its diseases and
disorders. Imaging the human brain in three dimensions has always been a challenge on …
disorders. Imaging the human brain in three dimensions has always been a challenge on …
Chromosomal genome and population genetic analyses to reveal genetic architecture, breeding history and genes related to cadmium accumulation in Lentinula …
H Yu, L Zhang, X Shang, B Peng, Y Li, S Xiao, Q Tan… - BMC genomics, 2022 - Springer
Abstract Background Lentinula edodes (Berk.) is the second most productive mushroom in
the world. It contains compounds effective for antiviral, antitumor, antioxidant and immune …
the world. It contains compounds effective for antiviral, antitumor, antioxidant and immune …