Paper
AnaSP: A software suite for automatic image analysis of multicellular spheroids
Published Apr 1, 2015 · F. Piccinini
Computer methods and programs in biomedicine
Q1 SJR score
66
Citations
4
Influential Citations
Abstract
Abstract hidden due to publisher request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.
Study Snapshot
AnaSP is an open source software that automatically estimates morphological parameters of multicellular spheroids using brightfield images, making it suitable for high content screenings and occasional spheroid-based experiments.
PopulationOlder adults (50-71 years)
Sample size24
MethodsObservational
OutcomesBody Mass Index projections
ResultsSocial networks mitigate obesity in older groups.
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References
Cancer multicellular spheroids: Volume assessment from a single 2D projection
ReViSP is an effective method for reconstructing 3D surfaces and estimating the volume of single cancer multicellular spheroids using only one 2D projection.
2015·53citations·F. Piccinini et al.·Computer methods and programs in biomedicine
Computer methods and programs in biomedicine
Improving reliability of live/dead cell counting through automated image mosaicing
Automated image mosaicing, using GridMos, significantly improves the reliability of live/dead cell counting in biological experiments.
2014·19citations·F. Piccinini et al.·Computer methods and programs in biomedicine
Computer methods and programs in biomedicine
Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach
Our automated method using a learning framework effectively detects specific cell types in cluttered 2D phase contrast images of 3D cell cultures, overcoming challenges like low SNR, clutter, and occlusions.
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2014·86citations·Wenjin Chen et al.·Journal of Visualized Experiments : JoVE
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Semi-quantitative monitoring of confluence of adherent mesenchymal stromal cells on calcium-phosphate granules by using widefield microscopy images
This study presents a Computer Vision approach that can routinely monitor mesenchymal stromal cells adhering to OSPROLIFE® granules, providing reliable data on cell confluence and proliferation over time.
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Journal of Materials Science: Materials in Medicine
Citations
Radiomic analysis of 3D spheroids using 2D brightfield images
AnaSP 3.0, an open-source software, can effectively assess 3D spheroids' sphericity, volume, and cell count, potentially aiding in regenerative medicine and oncology.
2025·0citations·Mariachiara Stellato et al.·Biomed. Signal Process. Control.
Biomed. Signal Process. Control.
HCS-3DX, a next-generation AI-driven automated 3D high-content screening system
HCS-3DX is a next-generation AI-driven automated 3D-oid high-content screening system that revolutionizes 3D imaging and image evaluation, enhancing drug screening accuracy and efficiency in personalized medicine.
2024·0citations·Akos Diosdi et al.·bioRxiv
bioRxiv
Cisplatin resistance alters ovarian cancer spheroid formation and impacts peritoneal invasion
Cisplatin resistance alters ovarian cancer spheroids' biophysical properties and impacts peritoneal invasion, potentially impacting metastatic progression in patients.
2025·0citations·Lydia C. Powell et al.·Frontiers in Cell and Developmental Biology
Frontiers in Cell and Developmental Biology
Isoquinolinequinone N-oxides with diverging mechanisms of action induce collateral sensitivity against multidrug resistant cancer cells.
Isoquinolinequinone N-oxides RK2 and RK3 show potential as promising therapeutic solutions for multidrug-resistant cancers, specifically linked to ABCB1 overexpression.
2024·0citations·Mélanie A. G. Barbosa et al.·European journal of pharmacology
European journal of pharmacology
Viability Analysis Of Drug-Treated Tumor Spheroids Using Machine Learning
The Extreme Gradient Boosting model effectively evaluates cell viability in 3D tumor spheroids, aiding cancer researchers in monitoring changes in response to drug treatment.
2024·0citations·Kaya Oğuz et al.·2024 Medical Technologies Congress (TIPTEKNO)
2024 Medical Technologies Congress (TIPTEKNO)