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 …
Zebrafish as an animal model for biomedical research
Zebrafish have several advantages compared to other vertebrate models used in modeling
human diseases, particularly for large-scale genetic mutant and therapeutic compound …
human diseases, particularly for large-scale genetic mutant and therapeutic compound …
Rationalized deep learning super-resolution microscopy for sustained live imaging of rapid subcellular processes
The goal when imaging bioprocesses with optical microscopy is to acquire the most
spatiotemporal information with the least invasiveness. Deep neural networks have …
spatiotemporal information with the least invasiveness. Deep neural networks have …
Adaptive optics for high-resolution imaging
Adaptive optics (AO) is a technique that corrects for optical aberrations. It was originally
proposed to correct for the blurring effect of atmospheric turbulence on images in ground …
proposed to correct for the blurring effect of atmospheric turbulence on images in ground …
Da** metastasis
Metastasis is a dynamic succession of events involving the dissemination of tumour cells to
distant sites within the body, ultimately reducing the survival of patients with cancer. To …
distant sites within the body, ultimately reducing the survival of patients with cancer. To …
Anti-quenching NIR-II molecular fluorophores for in vivo high-contrast imaging and pH sensing
The contrast and sensitivity of in vivo fluorescence imaging has been revolutionized by
molecular fluorophores operating in the second near-infrared window (NIR-II; 1000-1700 …
molecular fluorophores operating in the second near-infrared window (NIR-II; 1000-1700 …
Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction
C Belthangady, LA Royer - Nature methods, 2019 - nature.com
Deep learning is becoming an increasingly important tool for image reconstruction in
fluorescence microscopy. We review state-of-the-art applications such as image restoration …
fluorescence microscopy. We review state-of-the-art applications such as image restoration …
In vivo NIR-II fluorescence imaging for biology and medicine
Owing to reduced light scattering and tissue autofluorescence, in vivo fluorescence imaging
in the 1,000–3,000-nm near-infrared II (NIR-II) spectral range can afford non-invasive …
in the 1,000–3,000-nm near-infrared II (NIR-II) spectral range can afford non-invasive …
Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale
Long-term subcellular intravital imaging in mammals is vital to study diverse intercellular
behaviors and organelle functions during native physiological processes. However, optical …
behaviors and organelle functions during native physiological processes. However, optical …