collaborators

6 papers

cs.CV2025

Autonomous labeling of surgical resection margins using a foundation model

Xilin Yang, Musa Aydin, Yuhong Lu +9

Assessing resection margins is central to pathological specimen evaluation and has profound implications for patient outcomes. Current practice employs physical inking, which is ap…

physics.med-ph2025

Deep learning-enabled virtual multiplexed immunostaining of label-free tissue for vascular invasion assessment

Yijie Zhang, Cagatay Isil, Xilin Yang +6

Immunohistochemistry (IHC) has transformed clinical pathology by enabling the visualization of specific proteins within tissue sections. However, traditional IHC requires one tissu…

physics.med-ph2025

Label-free evaluation of lung and heart transplant biopsies using tissue autofluorescence-based virtual staining

Yuzhu Li, Nir Pillar, Tairan Liu +12

Organ transplantation serves as the primary therapeutic strategy for end-stage organ failures. However, allograft rejection is a common complication of organ transplantation. Histo…

eess.IV2025

Pixel super-resolved virtual staining of label-free tissue using diffusion models

Yijie Zhang, Luzhe Huang, Nir Pillar +3

Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of unstained tissue into equivalents of histochemically stained samples. This study…

physics.optics2025

Snapshot multi-spectral imaging through defocusing and a Fourier imager network

Xilin Yang, Michael John Fanous, Hanlong Chen +6

Multi-spectral imaging, which simultaneously captures the spatial and spectral information of a scene, is widely used across diverse fields, including remote sensing, biomedical im…

cs.CV2024

Virtual Staining of Label-Free Tissue in Imaging Mass Spectrometry

Yijie Zhang, Luzhe Huang, Nir Pillar +5

Imaging mass spectrometry (IMS) is a powerful tool for untargeted, highly multiplexed molecular mapping of tissue in biomedical research. IMS offers a means of mapping the spatial…