2017
DOI: 10.1038/srep43693
|View full text |Cite
|
Sign up to set email alerts
|

Multiscale image analysis reveals structural heterogeneity of the cell microenvironment in homotypic spheroids

Abstract: Three-dimensional multicellular aggregates such as spheroids provide reliable in vitro substitutes for tissues. Quantitative characterization of spheroids at the cellular level is fundamental. We present the first pipeline that provides three-dimensional, high-quality images of intact spheroids at cellular resolution and a comprehensive image analysis that completes traditional image segmentation by algorithms from other fields. The pipeline combines light sheet-based fluorescence microscopy of optically clear… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

2
85
0
1

Year Published

2017
2017
2024
2024

Publication Types

Select...
3
2
2

Relationship

1
6

Authors

Journals

citations
Cited by 57 publications
(93 citation statements)
references
References 56 publications
(80 reference statements)
2
85
0
1
Order By: Relevance
“…| 2743 different stacks allows the observation of a great part or even the totality of the sample (Richardson & Lichtman, 2015). In particular, LSFM is the fluorescence-based microscopy technique with the highest penetration depth (>1 cm), and therefore has been broadly used for the imaging of intact spheroids (Achilli et al, 2012;Benninger & Piston, 2013;Combs & Shroff, 2017;Costa et al, 2016;Desmaison et al, 2018;Feuchtinger, Walch, & Dobosz, 2016;Genina et al, 2010;Gualda, Simão, Pinto, Alves, & Brito, 2014;Marques, Oliveira, Chang, Paula-Neto, & Menezes, 2015;Masson et al, 2015;Paiè, Bragheri, Bassi, & Osellame, 2016;Pampaloni, Ansari, & Stelzer, 2013;Reynaud, Kržič, Greger, & Stelzer, 2008;Santi, 2011;Schmitz, Fischer, Mattheyer, Pampaloni, & Stelzer, 2017;Smyrek & Stelzer, 2017;Weber et al, 2015;Wenzel et al, 2014).…”
Section: Conceptmentioning
confidence: 99%
See 2 more Smart Citations
“…| 2743 different stacks allows the observation of a great part or even the totality of the sample (Richardson & Lichtman, 2015). In particular, LSFM is the fluorescence-based microscopy technique with the highest penetration depth (>1 cm), and therefore has been broadly used for the imaging of intact spheroids (Achilli et al, 2012;Benninger & Piston, 2013;Combs & Shroff, 2017;Costa et al, 2016;Desmaison et al, 2018;Feuchtinger, Walch, & Dobosz, 2016;Genina et al, 2010;Gualda, Simão, Pinto, Alves, & Brito, 2014;Marques, Oliveira, Chang, Paula-Neto, & Menezes, 2015;Masson et al, 2015;Paiè, Bragheri, Bassi, & Osellame, 2016;Pampaloni, Ansari, & Stelzer, 2013;Reynaud, Kržič, Greger, & Stelzer, 2008;Santi, 2011;Schmitz, Fischer, Mattheyer, Pampaloni, & Stelzer, 2017;Smyrek & Stelzer, 2017;Weber et al, 2015;Wenzel et al, 2014).…”
Section: Conceptmentioning
confidence: 99%
“…The BABB method was initially used to clear mice embryos and whole brains for allowing their imaging by ultramicroscopy. Similarly,Schmitz et al (2017) applied the BABB clearing method and mDSLM to image Draq5 stained T47D spheroids (displaying diameters ranging from 150 μm to more than 500 μm. For that purpose, spheroids were initially dehydrated in ascending ethanol concentrations(50, 70, 85, and 99% (v/v); 5 min each) and then transferred to a BABB (1:1 (v/v)) solution.…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…Nuclei segmentation was performed as previously described in Schmitz et al 2017. Raw image stacks of the nuclei channel were pre-processed in Fiji (ImageJ version 1.51h, Java version 1.8.0_66).…”
Section: Automated Nuclei Segmentationmentioning
confidence: 99%
“…We also assessed performance on the detection of the number of neighbours as this feature can be particularly relevant when studying collective organisation of the cells in various contexts (Blin et al, 2018;Bove et al, 2017;Mesa et al, 2017;Schmitz et al, 2017;Shaya et al, 2017;Toth et al, 2018). Again, only Ilastik and Nessys resulted in an accurate neighbour count with a standard deviation of 2.2 neighbours from GT.…”
Section: Quantification Of Performance Metrics Of Nessys In Comparisomentioning
confidence: 99%