354 citations · 1.3k across the 21 of their papers we have counts for
21 papers
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…
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…
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…
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…
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…
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…
Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling
Sahan Yoruc Selcuk, Xilin Yang, Bijie Bai +12
Human epidermal growth factor receptor 2 (HER2) is a critical protein in cancer cell growth that signifies the aggressiveness of breast cancer (BC) and helps predict its prognosis.…
Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning
Xilin Yang, Bijie Bai, Yijie Zhang +8
Systemic amyloidosis is a group of diseases characterized by the deposition of misfolded proteins in various organs and tissues, leading to progressive organ dysfunction and failur…
A paper-based multiplexed serological test to monitor immunity against SARS-CoV-2 using machine learning
Merve Eryilmaz, Artem Goncharov, Gyeo-Re Han +6
The rapid spread of SARS-CoV-2 caused the COVID-19 pandemic and accelerated vaccine development to prevent the spread of the virus and control the disease. Given the sustained high…
Multiplexed all-optical permutation operations using a reconfigurable diffractive optical network
Guangdong Ma, Xilin Yang, Bijie Bai +8
Large-scale and high-dimensional permutation operations are important for various applications in e.g., telecommunications and encryption. Here, we demonstrate the use of all-optic…
Virtual histological staining of unlabeled autopsy tissue
Yuzhu Li, Nir Pillar, Jingxi Li +12
Histological examination is a crucial step in an autopsy; however, the traditional histochemical staining of post-mortem samples faces multiple challenges, including the inferior s…
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems
Luzhe Huang, Jianing Li, Xiaofu Ding +3
Uncertainty estimation is critical for numerous applications of deep neural networks and draws growing attention from researchers. Here, we demonstrate an uncertainty quantificatio…
Deep Learning-enabled Virtual Histological Staining of Biological Samples
Bijie Bai, Xilin Yang, Yuzhu Li +3
Histological staining is the gold standard for tissue examination in clinical pathology and life-science research, which visualizes the tissue and cellular structures using chromat…
Virtual impactor-based label-free bio-aerosol detection using holography and deep learning
Yi Luo, Yijie Zhang, Tairan Liu +3
Exposure to bio-aerosols such as mold spores and pollen can lead to adverse health effects. There is a need for a portable and cost-effective device for long-term monitoring and qu…
Virtual stain transfer in histology via cascaded deep neural networks
Xilin Yang, Bijie Bai, Yijie Zhang +4
Pathological diagnosis relies on the visual inspection of histologically stained thin tissue specimens, where different types of stains are applied to bring contrast to and highlig…
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks
Yijie Zhang, Luzhe Huang, Tairan Liu +5
Deep learning-based virtual staining was developed to introduce image contrast to label-free tissue sections, digitally matching the histological staining, which is time-consuming,…
Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning
Tairan Liu, Yuzhu Li, Hatice Ceylan Koydemir +8
We present a rapid and stain-free quantitative viral plaque assay using lensfree holographic imaging and deep learning. This cost-effective, compact, and automated device significa…
Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning
Bijie Bai, Hongda Wang, Yuzhu Li +14
The immunohistochemical (IHC) staining of the human epidermal growth factor receptor 2 (HER2) biomarker is widely practiced in breast tissue analysis, preclinical studies and diagn…
Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data
Yijie Zhang, Tairan Liu, Manmohan Singh +4
Optical Coherence Tomography (OCT) is a widely used non-invasive biomedical imaging modality that can rapidly provide volumetric images of samples. Here, we present a deep learning…
Deep learning-based transformation of the H&E stain into special stains
Kevin de Haan, Yijie Zhang, Jonathan E. Zuckerman +11
Pathology is practiced by visual inspection of histochemically stained slides. Most commonly, the hematoxylin and eosin (H&E) stain is used in the diagnostic workflow and it is the…
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue
Yijie Zhang, Kevin de Haan, Yair Rivenson +3
Histological staining is a vital step used to diagnose various diseases and has been used for more than a century to provide contrast to tissue sections, rendering the tissue const…