journal article·2019-04-18Open access

Open-Source Tools for Volume Estimation of 3D Multicellular Aggregates

Ilaria De Santis, Ervin Tasnadi, Peter Horvath, Alessandro Bevilacqua, Filippo Piccinini

Applied Sciences· Volume 9· Issue 8

Abstract

The volume is one of the most relevant features that define the treatment of an in vivo tumour. When using cancer 3D in vitro models in pre-clinical studies, it becomes important to evaluate the macroscopic effects of drugs and radiotherapy treatments. Depending on the nature of the 3D in vitro model used, different open-source solutions can be used for measuring the volume by starting from microscope-acquired images. In this work, we introduced several open-source tools today available for estimating the volume of 3D multicellular aggregates (e.g., spheroids, organoids), also giving hints for defining the “best software” by analysing characteristics of 3D in vitro models and limits of the tools. Finally, using several cancer organoids imaged by a fluorescent microscope, we compared volume estimations obtained with different tools, besides presenting a new version of the Reconstruction and Visualization from Multiple Sections (ReViMS version 2.0) tool. This work aims to be the reference for researchers interested in estimating the volume of 3D multicellular aggregates through an open-source tool.
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Research context

OpenAlex topics: 3D Shape Modeling and Analysis · 3D Printing in Biomedical Research · Cell Image Analysis Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Advanced Research Center on Electronic Systems (ARCES) for Information and Communication Technologies “E. De Castro”, University of Bologna, I-40125 Bologna, Italy

Interdepartmental Centre “L. Galvani” for Integrated Studies of Bioinformatics, Biophysics & Biocomplexity (CIG), University of Bologna, I-40125 Bologna, Italy

Synthetic and System Biology Unit, Hungarian Academy of Sciences, Biological Research Centre (BRC), H-6726 Szeged, Hungary

Institute for Molecular Medicine Finland, University of Helsinki, FI-00014 Helsinki, Finland

Department of Computer Science and Engineering (DISI), University of Bologna, I-40126 Bologna, Italy

Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, I-47014 Meldola (FC), Italy

Funding

NEUBIAS COST Action (European Cooperation in Science and Technology) CA15124 · HAS-LENDULET-BIOMAG and EUROPEAN UNION and EUROPEAN REGIONAL DEVELOPMENT FUNDS

References (28)

Show source-provided references
1. 3D tumor spheroid models for in vitro therapeutic screening: A systematic approach to enhance the biological relevance of data obtained10.1038/srep19103 ↗
2. Advances in cancer modeling: fluidic systems for increasing representativeness of large 3D multicellular spheroids10.2144/btn-2018-0153 ↗
3. Single-image based methods used for non-invasive volume estimation of cancer spheroids: A practical assessing approach based on entry-level equipment10.1016/j.cmpb.2016.07.024 ↗
4. TASI: A software tool for spatial-temporal quantification of tumor spheroid dynamics10.1038/s41598-018-25337-4 ↗
5. Cancer multicellular spheroids: Volume assessment from a single 2D projection10.1016/j.cmpb.2014.12.003 ↗
6. Optical coherence tomography detects necrotic regions and volumetrically quantifies multicellular tumor spheroids10.1158/0008-5472.CAN-17-0821 ↗
7. Duchi, S., Piccinini, F., Pierini, M., Bevilacqua, A., Torre, M.L., Lucarelli, E., and Santi, S. (2017). A new holistic 3D non-invasive analysis of cellular distribution and motility on fibroin-alginate microcarriers using light sheet fluorescent microscopy. PLoS ONE, 12.10.1371/journal.pone.0183336 ↗
8. Concerns, challenges and promises of high-content analysis of 3D cellular models10.1038/nrd.2018.99 ↗
9. AnaSP: A software suite for automatic image analysis of multicellular spheroids10.1016/j.cmpb.2015.02.006 ↗
10. Interactive segmentation framework of the medical imaging interaction toolkit10.1016/j.cmpb.2009.04.004 ↗
11. OpenSegSPIM: a user-friendly segmentation tool for SPIM data10.1093/bioinformatics/btw093 ↗
12. ReViMS: Software tool for estimating the volumes of 3-D multicellular spheroids imaged using a light sheet fluorescence microscope10.2144/000114609 ↗
13. ImageJ for microscopy10.2144/000112517 ↗
14. A threshold selection method from gray-level histograms10.1109/TSMC.1979.4310076 ↗
15. Automatic measurement of sister chromatid 132 exchange frequency10.1177/25.7.70454 ↗
16. Geodesic active contours10.1023/A:1007979827043 ↗
17. Active contours without edges10.1109/83.902291 ↗
18. Snakes: Active contour models10.1007/BF00133570 ↗
19. Optimal approximation by piecewise smooth functions and associated variational problems10.1002/cpa.3160420503 ↗
20. Cell counting and viability assessment of 2D and 3D cell cultures: expected reliability of the Trypan Blue assay10.1186/s12575-017-0056-3 ↗
21. Simultaneous truth and performance level estimation (STAPLE): An algorithm for the validation of image segmentation10.1109/TMI.2004.828354 ↗
22. The medical imaging interaction toolkit10.1016/j.media.2005.04.005 ↗
23. The medical imaging interaction toolkit: challenges and advances10.1007/s11548-013-0840-8 ↗
24. Han, H.W., Asano, S., and Hsu, S.H. (2019). Cellular spheroids of mesenchymal stem cells and their perspectives in future healthcare. Appl. Sci., 9.10.3390/app9040627 ↗
25. Three-dimensional growth patterns of various human tumor cell lines in simulated microgravity of a NASA bioreactor10.1007/s11626-997-0064-8 ↗
26. Barbier, M., Jaensch, S., Cornelissen, F., Vidic, S., Gjerde, K., de Hoogt, R., Graeser, R., and Gustin, E. (2016). IMI PREDECT Consortium. Ellipsoid segmentation model for analyzing light-attenuated 3D confocal image stacks of fluorescent multi-cellular spheroids. PLoS ONE, 11.10.1371/journal.pone.0156942 ↗
27. Accurate quantitative wide-field fluorescence microscopy of 3-D spheroids10.2144/000114472 ↗
28. Phenotypic image analysis software tools for exploring and understanding big image data from cell-based assays10.1016/j.cels.2018.06.001 ↗