Fluorescence imaging of sub-cellular structures with sizes below the di raction limit is vital in understanding cellular processes. Relying on exciting the sample with di erent illumination patterns and image processing ...

Yapılandırılmış Aydınlatma Desenleri (Structured Illumination Patterns) mikroskobik görüntülemede, kırımın limitinin (diffraction limit) aşılarak süper çözünürlüklü görüntünün elde edilmesini sağlamak için kullanılan ...

Deep learning techniques bring together key advantages in biomedical image segmentation. They speed up the process, increase the reproducibility, and reduce the workload in segmentation and classification. Deep learning ...

When combined with computational approaches, fluorescence imaging becomes one of the most powerful tools in biomedical research. It is possible to achieve resolution figures beyond the diffraction limit, and improve the ...