Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
SnapFISH: a computational pipeline to identify chromatin loops from multiplexed DNA FISH data
Multiplexed DNA fluorescence in situ hybridization (FISH) imaging technology has been developed to map the folding of chromatin fibers at tens of nanometers and several kilobases in resolution in single cells. We present SnapFISH to process the multiplexed DNA FISH data and identify chromatin loops.
Stem cell-like CD8 T cells are at the heart of the anti-tumor response induced by PD-L1/TGFβ dual blockade in immune excluded tumors
In depth analysis of the CD8 T cells infiltrating an immune excluded tumor model revealed the presence of stem cell-like CD8 T cells that expanded in situ upon anti-PD-L1/TGFβ combination therapy fueling an efficient and IFNγ dependent anti-tumor response.
An imaging-based approach to measure atmospheric turbulence
The strength information of atmospheric turbulence is hidden in its infrared imaging effects. We have developed a deep learning method to both extract the 2D atmospheric turbulence strength fields and clear and stable images from turbulence-distorted infrared images.
Caring for Children with Developmental and Epileptic Encephalopathy: Unraveling the Psychosocial Impact on Families
Neurological rare diseases affect a significant portion of the population and pose a substantial challenge. Here we shed light on the psychosocial impact of caring for a child suffering from this type of diseases, emphasizing the importance of assessment and intervention at the family level.
A crystal graph neural network model for defect formation in clean energy materials
Broad materials screening for defect properties requires fast methods that circumvent the need for first-principles supercell calculations of a vast number of possible defect configurations. We construct and train a defect graph neural network to screen oxides for clean energy applications.
