Deep Piction

Using whole-body cell-level imaging to improve disease understanding and therapy development.

[Danielle Beckman @DaniBeckman]

Not all organs respond equally to #COVID infection. DISCO-seq, a new technique led by my talented friend @HarsharanBhatia, combines 3D imaging and single-cell analysis to map Spike Protein tropism and found mostly in the liver, lungs, intestine & kidneys. https://t.co/9dA0axeUbU

[Deep Piction @DeepPiction]

We are excited to share our recent study describing
DISCO-seq, a new technique that combines RNA-preserving tissue clearing with whole-organ 3D imaging to enable unbiased single-cell transcriptomics. Read here: https://t.co/ka7bzmfYgY

[Ali Max Erturk @erturklab]

Single-cell RNA-seq transformed biology, but we still sample <0.001% of an organism.
2D sections lose 3D context.
What if we image the whole body first?
We Introduce DISCO-seq🤩: full 3D imaging then scRNAseq👇🏻https://t.co/kYkzAWBxUB
by @HarsharanBhatia, Laurent Simons et al.

[Deep Piction @DeepPiction]

From Whole Body to Single Cell. At https://t.co/1VcQCdd10U we
can see where disease begins and identify ways to make therapies safer & more effective. We’re excited to share our new paper at @Nature! Our goal is to advance drug discovery for #Cancer, #LongCovid & #Inflammation

[Ali Max Erturk @erturklab]

If you missed the video for our recent @Nature study, check it out 👇🏼 Turn on the sound! We added some art to it 😊

[Deep Piction @DeepPiction]

From Whole Body to Single Cell. At https://t.co/1VcQCdd10U we
can see where disease begins and identify ways to make therapies safer & more effective. We’re excited to share our new paper at @Nature! Our goal is to advance drug discovery for #Cancer, #LongCovid & #Inflammation

[nature @Nature]

Nature research paper: A deep-learning framework reveals whole-body perturbations at cell level

https://t.co/8xskf617WT