Artificial intelligence for digital and computational pathology

AH Song, G Jaume, DFK Williamson, MY Lu… - Nature Reviews …, 2023 - nature.com
Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence,
including deep learning, have boosted the field of computational pathology. This field holds …

Light sheet fluorescence microscopy

EHK Stelzer, F Strobl, BJ Chang, F Preusser… - Nature Reviews …, 2021 - nature.com
Light sheet fluorescence microscopy (LSFM) uses a thin sheet of light to excite only
fluorophores within the focal volume. Light sheet microscopes (LSMs) have a true optical …

Label-free intraoperative histology of bone tissue via deep-learning-assisted ultraviolet photoacoustic microscopy

R Cao, SD Nelson, S Davis, Y Liang, Y Luo… - Nature biomedical …, 2023 - nature.com
Obtaining frozen sections of bone tissue for intraoperative examination is challenging. To
identify the bony edge of resection, orthopaedic oncologists therefore rely on pre-operative …

Deep learning-based transformation of H&E stained tissues into special stains

K de Haan, Y Zhang, JE Zuckerman, T Liu… - Nature …, 2021 - nature.com
Pathology is practiced by visual inspection of histochemically stained tissue slides. While the
hematoxylin and eosin (H&E) stain is most commonly used, special stains can provide …

Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology

K Bera, KA Schalper, DL Rimm, V Velcheti… - Nature reviews Clinical …, 2019 - nature.com
In the past decade, advances in precision oncology have resulted in an increased demand
for predictive assays that enable the selection and stratification of patients for treatment. The …

Tissue clearing and its applications in neuroscience

HR Ueda, A Ertürk, K Chung, V Gradinaru… - Nature Reviews …, 2020 - nature.com
State-of-the-art tissue-clearing methods provide subcellular-level optical access to intact
tissues from individual organs and even to some entire mammals. When combined with light …

Deep learning-based virtual staining, segmentation, and classification in label-free photoacoustic histology of human specimens

C Yoon, E Park, S Misra, JY Kim, JW Baik… - Light: Science & …, 2024 - nature.com
In pathological diagnostics, histological images highlight the oncological features of excised
specimens, but they require laborious and costly staining procedures. Despite recent …

Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning

Y Rivenson, H Wang, Z Wei, K de Haan… - Nature biomedical …, 2019 - nature.com
The histological analysis of tissue samples, widely used for disease diagnosis, involves
lengthy and laborious tissue preparation. Here, we show that a convolutional neural network …

Da**—high-resolution, large imaging volume and multi-view single-objective light-sheet microscopy

B Yang, M Lange, A Millett-Sikking, X Zhao… - Nature …, 2022 - nature.com
The promise of single-objective light-sheet microscopy is to combine the convenience of
standard single-objective microscopes with the speed, coverage, resolution and gentleness …

Multiplexed imaging in oncology

C Andreou, R Weissleder, MF Kircher - Nature Biomedical Engineering, 2022 - nature.com
In oncology, technologies for clinical molecular imaging are used to diagnose patients,
establish the efficacy of treatments and monitor the recurrence of disease. Multiplexed …