Author: Susan M Staurovsky

Publication for the Yu lab

12-11-21. Congratulations to Drs. Ji Yu and Ud Din who recently published a paper in Scientific Reports. The paper, “Training a deep learning model for single‑cell segmentation without manual annotation” presents a convolutional neural network (CNN) segmentation method that uses a marker-controlled segmentation algorithm that is suitable for use where cells are tightly packed together. (Training a deep learning model for single-cell segmentation without manual annotation. Din, Nizam Ud; Yu, Ji Scientific reports 2021 Dec;11(1):23995.)

Din and  Yu Publication 2021

Single-cell segmentation of bright-field (left) and fluorescence (middle) microscopy images using a neural-network model trained in a self-supervised fashion. Image on the right shows the consistency of the two segmentation results.

 

Pedro Mendes Publication using COPASI

12-17-21. Pedro recently published another paper,  MYC dosage compensation is mediated by miRNA-transcription factor interactions in aneuploid cancer. The paper, published in iScience, identifies a network of transcription factors and microRNAs that compensate for MYC gene over-expression and allows certain cancerous cells to survive in those conditions. This was discovered with a new computational method that uses COPASI and the findings were confirmed experimentally. Congratulations Pedro!

Mendes Publication

12-15-21. Congratulations to Pedro Mendes on a new publication, Understanding Lactobacillus paracasei
and Streptococcus oralis biofilm interactions through agent-based modeling
, published in mSphere 6:e0087521. Along with other UConn Health investigators, they studied the interactions between two bacterial species that form biofilms in the oral cavity. The research combined experiments and agent-based simulations to understand the mechanism of interaction.