The challenges with organoids
More complex protocols are required to overcome barriers to 3D biology adoption
Standard protocol to produce robust and reproduciblle spheroids/organoids
Organoids may oer greater predictability and more
55.30%
biologically-relevant data than 2D cell models, but their wider adoption remains limited. They can be dicult to grow in-house without the right protocols, technology, or know-how, and access to reliable o-the-shelf options are minimal. Associated technical hurdles and assay complexity lead to higher costs, lower throughput, and reproducibility hurdles.
Ability to do automated passaging
26.10%
“Turn-key” system to grow, monitor, and screen organoids
stated that their biggest pain point was developing a standard protocol to produce robust and reproducible spheroids/organoids. 55% of researchers
25.70%
Cost
24.50%
Access to stable cell lines for growing 3D models
22.20%
Software to track from single cell to 3D organoids and provide deep insights with AI
20.60%
Shorter amount of time to grow 3D models
20.60%
Ability to produce the # of organoids required for screening
19.80%
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