Jessica L. Riesterer

The paper compares deep learning models for segmenting nuclei and nucleoli in cancer EM images using sparse labels and semi-supervised learning, showing improvements in 3D Dice scores.

This study improves model generalizability in biological object detection using electron microscopy images through normalization and augmentation techniques, achieving a 29% average precision boost.

The paper presents a multiscale imaging technique combining micro-CT and SEM to study whole heart structure and ultrastructure in congenital heart disease models.