Summer L. Gibbs

The paper develops a deep learning framework to identify and quantify rare hybrid cells in pancreatic cancer models using fluorescence microscopy.

This paper introduces a cyclic immunofluorescence platform using photocleavable linkers for direct antibody labeling, enabling more effective cancer phenotyping with reduced specimen damage.

This paper develops BBB-permeable oxazine fluorophores for real-time intraoperative imaging of white matter tracts in neurosurgery.

This study identifies RUNX1 as a key driver of tumor-immune hybrid cell invasion and dissemination in colorectal cancer, highlighting circulating hybrid cells as a biomarker for metastasis.

The paper develops NIR fluorescent probes with improved pharmacokinetics for prostate cancer imaging, enhancing clinical workflow compatibility during surgery.

This paper evaluates contrast agents for in vivo fluorescence detection of circulating tumor cells, finding that while they show high uptake, they also label non-cancer cells, reducing specificity.

The paper presents an image analysis pipeline for detecting circulating hybrid cells in immunofluorescence images with human-level accuracy using a β-VAE and SVM classifier.

The paper identifies neoplastic-immune hybrid cells in uveal melanoma scRNA-seq data that exhibit metastatic potential through gene expression and ligand-receptor analysis.