nNPipe: a neural network pipeline for automated analysis of morphologically diverse catalyst systems

nNPipe: a neural network pipeline for automated analysis of morphologically diverse catalyst systems

We describe nNPipe for the automated analysis of morphologically diverse catalyst materials. Automated imaging routines and direct-electron detectors have enabled the collection of large data stacks over a wide range of sample positions at high temporal resolution. Simultaneously, traditional image...

书目详细资料
Main Authors:	Treder, K, Huang, C, Bell, C, Slater, T, Schuster, M, Ozkaya, D, Kim, J, Kirkland, A
格式:	Journal article
语言:	English
出版:	Springer Nature 2023

相似书籍

nNPipe: a neural network pipeline for automated analysis of morphologically diverse catalyst systems
由: Kevin P. Treder, et al.
出版: (2023-02-01)

Automated analysis of heterogeneous catalyst materials using deep learning
由: Treder, KP
出版: (2022)

Trainable segmentation for transmission electron microscope images of inorganic nanoparticles
由: Bell, CG, et al.
出版: (2022)

Automated Design of the Deep Neural Network Pipeline
由: Mia Gerber, et al.
出版: (2022-11-01)

Pipeline system automation and control /
由: 171133 Yoon, Mike S., et al.
出版: (2007)

Aberration-corrected imaging of active sites on industrial catalyst nanoparticles.
由: Gontard, L, et al.
出版: (2007)

Automated Pipeline Design
由: Kroening, D, et al.
出版: (2001)

Automated pipeline design
由: Kroening, D, et al.
出版: (2001)

Pipeline automation and control
出版: ([197)

A novel automated image analysis pipeline for quantifying morphological changes to the endoplasmic reticulum in cultured human cells
由: M. Elena Garcia-Pardo, et al.
出版: (2021-09-01)

A fully automated pipeline for the dynamic at‐line morphology analysis of microscale Aspergillus cultivation
由: Roman Jansen, et al.
出版: (2021-03-01)

Automated Isoform Diversity Detector (AIDD): a pipeline for investigating transcriptome diversity of RNA-seq data
由: Noel-Marie Plonski, et al.
出版: (2020-12-01)

APPIAN: Automated Pipeline for PET Image Analysis
由: Thomas Funck, et al.
出版: (2018-09-01)

Automated pipeline for leaf spot severity scoring in peanuts using segmentation neural networks
由: Joshua Larsen, et al.
出版: (2025-02-01)

A Cipher-Agnostic Neural Training Pipeline with Automated Finding of Good Input Differences
由: Emanuele Bellini, et al.
出版: (2023-09-01)

RimNet: A Deep Neural Network Pipeline for Automated Identification of the Optic Disc Rim
由: Haroon Adam Rasheed, BS, et al.
出版: (2023-03-01)

Applications of deep learning in electron microscopy
由: Treder, KP, et al.
出版: (2022)

The neural correlates of morphological complexity processing: Detecting structure in pseudowords
由: Schuster, S, et al.
出版: (2018)

An Automated Image Analysis Pipeline Enables Genetic Studies of Shoot and Root Morphology in Carrot (Daucus carota L.)
由: Sarah D. Turner, et al.
出版: (2018-11-01)

Automated software for hydraulic simulation of pipeline operation
由: Hurgin Roman
出版: (2018-01-01)

Automated Pipeline for Infants Continuous EEG (APICE): A flexible pipeline for developmental cognitive studies
由: Ana Fló, et al.
出版: (2022-04-01)

An automated pipeline for the identification of liver tissue in ultrasound video
由: Ockenden, E, et al.
出版: (2025)

Computational based automated pipeline corrosion data assessment /
由: Mazura Mat Din, 1974-, author 599873
出版: (2015)

Computational based automated pipeline corrosion data assessment /
由: Mazura Mat Din, 1974-, author 599873, et al.
出版: (2015)

Automated CMR Processing Pipeline for Research and Clinical Routine
由: Fanny Månefjord, MSc, et al.
出版: (2024-01-01)

Automated Trace Clustering Pipeline Synthesis in Process Mining
由: Iuliana Malina Grigore, et al.
出版: (2024-04-01)

Automated Machine Learning Pipeline for Traffic Count Prediction
由: Amirsaman Mahdavian, et al.
出版: (2021-10-01)

A software pipeline for automated wildlife population sampling
由: Peter K. Marsh, et al.
出版: (2023-10-01)

Challenges for the development of automated RNA-seq analyses pipelines
由: Beukers, Matthieu, et al.
出版: (2023-07-01)

An Automated Field Phenotyping Pipeline for Application in Grapevine Research
由: Anna Kicherer, et al.
出版: (2015-02-01)

MetaLab: an automated pipeline for metaproteomic data analysis
由: Kai Cheng, et al.
出版: (2017-12-01)

Auto-Prep: Efficient and Automated Data Preprocessing Pipeline
由: Mehwish Bilal, et al.
出版: (2022-01-01)

Ironsmith: An automated pipeline for QSM-based data analyses
由: Valentinos Zachariou, et al.
出版: (2022-04-01)

An Automated Pipeline for the Analysis of PET Data on the Cortical Surface
由: Arnaud Marcoux, et al.
出版: (2018-12-01)

<it>ArrayIDer</it>: automated structural re-annotation pipeline for DNA microarrays
由: McCarthy Fiona M, et al.
出版: (2009-01-01)

ANMAF: an automated neuronal morphology analysis framework using convolutional neural networks
由: Ling Tong, et al.
出版: (2021-04-01)

Automated histopathological detection and classification of lung cancer with an image pre-processing pipeline and spatial attention with deep neural networks
由: Tushar Nayak, et al.
出版: (2024-12-01)

Automated corroding pipeline assessment using DNV-RP-F101 corroded pipeline (Part A) /
由: Cha, Mei Yuen, 1986-, et al.
出版: (2010)

An Automated, Adaptive Framework for Optimizing Preprocessing Pipelines in Task-Based Functional MRI.
由: Nathan W Churchill, et al.
出版: (2015-01-01)

The VirAnnot Pipeline: A Resource for Automated Viral Diversity Estimation and Operational Taxonomy Units Assignation for Virome Sequencing Data
由: Marie Lefebvre, et al.
出版: (2019-10-01)