3D Biology: The paradigm shift in next-gen drug discovery

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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