Deep learning for cellular image analysis - Nature Methods
2019年5月27日 · Here we review the intersection between deep learning and cellular image analysis and provide an overview of both the mathematical mechanics and the programming …
CellProfiler
Explore your data and classify complex or subtle phenotypes using machine learning in CellProfiler Analyst. Free open-source software for measuring and analyzing cell images.
Data-analysis strategies for image-based cell profiling
2017年9月1日 · Image-based cell profiling is a high-throughput strategy for the quantification of phenotypic differences among a variety of cell populations. It paves the way to studying …
Cecelia: a multifunctional image analysis toolbox for decoding …
2025年2月24日 · We developed Cecelia to integrate static and live cell image analysis with modular workflows in a unified framework with a graphical user interface (GUI).
CNN-Based Cell Analysis: From Image to Quantitative …
2022年1月24日 · We present a novel deep learning-based quantification pipeline for the analysis of cell culture images acquired by lens-free microscopy. The image reconstruction part of the …
CellProfiler: image analysis software for identifying and …
2006年7月10日 · Biologists can now prepare and image thousands of samples per day using automation, enabling chemical screens and functional genomics (for example, using RNA …
scCamAge: A context-aware prediction engine for cellular ... - Cell …
2025年2月25日 · We present scCamAge, an advanced context-aware multimodal prediction engine that co-leverages image-based cellular spatiotemporal features at single-cell resolution …
Deep Learning in Cell Image Analysis - Intelligent Computing
2022年9月7日 · In this study, we provide a comprehensive survey of three critical tasks in cell image analysis—segmentation, tracking, and classification—which shows that deep learning …
Celldetective: an AI-enhanced image analysis tool for ... - eLife
2025年3月11日 · Here, we introduce Celldetective, an open-source Python-based software designed for high-performance, end-to-end analysis of image-based in vitro immune and …
A review of open-source image analysis tools for mammalian cell …
We highlight the prediction tools that can detect, segment, and track different mammalian cell morphologies across various image modalities and present a comparison of algorithms and …
Cell Painting: The Art of Image Analysis | Scientist.com
2025年2月26日 · Cell painting is a high-content imaging assay (HCIA) that utilises a collection of fluorescent dyes to label distinct subcellular compartments such as the nucleus, endoplasmic …
Cell image analysis: Algorithms, system and applications
Abstract: We present several algorithms for cell image analysis including microscopy image restoration, cell event detection and cell tracking in a large population. The algorithms are …
CellProfiler: image analysis software for identifying and …
2006年7月10日 · CellProfiler, the first free, open-source system for flexible and high-throughput cell image analysis is described. Biologists can now prepare and image thousands of samples …
Analysis of live cell images: Methods, tools and opportunities
2017年2月15日 · We present an overview of image analysis methods, visualization approaches and software tools. Opportunities machine learning (e.g. deep learning) and computer vision …
Machine learning applications in cell image analysis
2017年4月4日 · This review focuses on ML applications for image analysis in light microscopy experiments with typical tasks of segmenting and tracking individual cells, and modelling of …
Phenotypic Image Analysis Software Tools for Exploring and ... - Cell …
2018年6月27日 · The goal of phenotypic image analysis is to recognize variations in cellular properties using image data—either measurements extracted by image analysis software or …
Deep learning for cellular image analysis - PMC - PubMed Central …
Here we review the intersection between deep learning and cellular image analysis and provide an overview of both the mathematical mechanics and the programming frameworks of deep …
Artificial Intelligence and Cellular Segmentation in Tissue Microscopy ...
2021年10月1日 · By automating cell segmentation, it is now possible to mine quantifiable cellular and spatio-cellular features from microscopy images, providing insight into the organization of …
Multiparametric physicochemical analysis of a type 1 collagen 3D cell …
2 天之前 · Acquisition and analysis of multiparametric image data for characterization of cell-seeded scaffolds. (a) Illustration of the volume sampled using the different techniques included …
Which image-based phenotypes are most promising for using ... - Cell …
2021年5月19日 · With powerful machine-learning techniques, we’re now facing a paradigm shift in image analysis for cell biology. Conventionally, image-based phenotypes have been described …
Leveraging Machine Learning and Deep Learning for Advanced …
2025年1月7日 · Malaria remains a significant global health challenge, causing hundreds of thousands of deaths annually, particularly in tropical and subtropical regions. This study …
Data-analysis strategies for image-based cell profiling - PMC
Image-based cell profiling is a high-throughput strategy for the quantification of phenotypic differences among a variety of cell populations. It paves the way to studying biological systems …
AI system can analyze serial medical images - Cornell Chronicle
2025年2月28日 · A new AI-based system for analyzing images taken over time can accurately detect changes and predict outcomes, according to a study led by investigators at Weill …
Contrasting a BYD Blade prismatic cell and Tesla 4680 cylindrical cell ...
2025年3月6日 · The first cell is a cylindrical cell with a diameter of 46 mm and a height of 80 mm made by the manufacturer Tesla (Tesla 4680 cell) and used in the 2022 models of the Model …
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