CellStress - open source image analysis program for single-cell analysis

2010 ◽  
Author(s):  
Maria Smedh ◽  
Caroline Beck ◽  
Kristin Sott ◽  
Mattias Goksör
Keyword(s):  
Image Analysis ◽  
Single Cell ◽  
Open Source ◽  
Single Cell Analysis ◽  
Source Image ◽  
Cell Analysis ◽  
Analysis Program

scholarly journals Accelerating a paradigm shift: The Common Fund Single Cell Analysis Program

2018 ◽  
Vol 4 (8) ◽  
pp. eaat8573 ◽  
Author(s):  
Ananda L. Roy ◽  
Richard Conroy ◽  
Jessica Smith ◽  
Yong Yao ◽  
Andrea C. Beckel-Mitchener ◽  
...  
Keyword(s):  
Single Cell ◽  
Paradigm Shift ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Analysis Program ◽  
Common Fund ◽  
The Common

scholarly journals Scaling and automation of a high-throughput single-cell-derived tumor sphere assay chip

Lab on a Chip ◽  
2016 ◽  
Vol 16 (19) ◽  
pp. 3708-3717 ◽  
Author(s):  
Yu-Heng Cheng ◽  
Yu-Chih Chen ◽  
Riley Brien ◽  
Euisik Yoon
Keyword(s):  
Image Analysis ◽  
Single Cell ◽  
High Throughput ◽  
Microfluidic Chip ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Tumor Sphere ◽  
Sphere Image

A high-throughput single cell analysis microfluidic chip was developed for single-cell derived sphere assays with automatic cell and sphere image analysis.

scholarly journals Squidpy: a scalable framework for spatial single cell analysis

2021 ◽  
Author(s):  
Giovanni Palla ◽  
Hannah Spitzer ◽  
Michal Klein ◽  
David Sebastian Fischer ◽  
Anna Christina Schaar ◽  
...  
Keyword(s):  
Image Analysis ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Molecular Data ◽  
Cellular Communication ◽  
Omics Data ◽  
Cell Analysis ◽  
Tissue Organization ◽  
Analysis Methods

Spatial omics data are advancing the study of tissue organization and cellular communication at an unprecedented scale. Here, we present Squidpy, a Python framework that brings together tools from omics and image analysis to enable scalable description of spatial molecular data, such as transcriptome or multivariate proteins. Squidpy provides both infrastructure and numerous analysis methods that allow to efficiently store, manipulate and interactively visualize spatial omics data.

Multidimensional single-cell analysis based on fluorescence microscopy and automated image analysis

2017 ◽  
Vol 409 (16) ◽  
pp. 4009-4019 ◽  
Author(s):  
Michael Sandmann ◽  
Martin Lippold ◽  
Franziska Saalfrank ◽  
Chimezie Progress Odika ◽  
Sascha Rohn
Keyword(s):  
Image Analysis ◽  
Fluorescence Microscopy ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Automated Image Analysis ◽  
Cell Analysis

Author response for "Immunocyte single cell analysis of vaccine‐induced narcolepsy"

2020 ◽  
Author(s):  
Alexander Lind ◽  
Falastin Salami ◽  
Anne‐Marie Landtblom ◽  
Lars Palm ◽  
Åke Lernmark ◽  
...  
Keyword(s):  
Single Cell ◽  
Single Cell Analysis ◽  
Author Response ◽  
Cell Analysis
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