AI Article Synopsis
- The adoption of three-dimensional cell models has been slow over the past 50 years due to expensive, time-consuming processes and lack of reproducibility.
- This chapter presents cost-effective, open-source methods for assessing spheroid viability, including ImageJ macros for size determination and an Excel template for data analysis.
- These methods aim to help researchers transition from traditional cell cultures to more advanced 3D spheroid studies for drug testing, while minimizing expenses and time commitments.
Article Abstract
Mainstream adoption of physiologically relevant three-dimensional models has been slow in the last 50 years due to long, manual protocols with poor reproducibility, high price, and closed commercial platforms. This chapter describes high-throughput, low-cost, open methods for spheroid viability assessment which use readily available reagents and open-source software to analyze spheroid volume, metabolism, and enzymatic activity. We provide two ImageJ macros for automated spheroid size determination-for both single images and images in stacks. We also share an Excel template spreadsheet allowing users to rapidly process spheroid size data, analyze plate uniformity (such as edge effects and systematic seeding errors), detect outliers, and calculate dose-response. The methods would be useful to researchers in preclinical and translational research planning to move away from simplistic monolayer studies and explore 3D spheroid screens for drug safety and efficacy without substantial investment in money or time.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/978-1-4939-6960-9_4 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!