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Artificial intelligence for digital and computational pathology
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 …
including deep learning, have boosted the field of computational pathology. This field holds …
Light sheet fluorescence microscopy
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 …
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
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 …
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
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 …
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
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 …
for predictive assays that enable the selection and stratification of patients for treatment. The …
Tissue clearing and its applications in neuroscience
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 …
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
In pathological diagnostics, histological images highlight the oncological features of excised
specimens, but they require laborious and costly staining procedures. Despite recent …
specimens, but they require laborious and costly staining procedures. Despite recent …
Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning
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 …
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
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 …
standard single-objective microscopes with the speed, coverage, resolution and gentleness …
Multiplexed imaging in oncology
In oncology, technologies for clinical molecular imaging are used to diagnose patients,
establish the efficacy of treatments and monitor the recurrence of disease. Multiplexed …
establish the efficacy of treatments and monitor the recurrence of disease. Multiplexed …