Ara
Toplam kayıt 5, listelenen: 1-5
An LED-Based Super Resolution GPU Implemented Structured Illumination Microscope
(SPIEDigital Library, 2020)
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 ...
Multi-Scale Hierarchical Topology Optimization for Nanophotonic Design
(Optics InfoBase Conference Papers, 2020)
We develop a multi-scale method to rapidly design efficient and fabricationcompatible
nanophotonic devices, and demonstrate it by designing a mode multiplexer
with 98.1% efficiency in 104 iterations under 50 seconds using ...
A Deep Learning Model for Automated Segmentation of Fluorescence Cell images
(IOP Publishing Ltd, 2021)
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 ...
DeepCAN: A Modular Deep Learning System for Automated Cell Counting and Viability Analysis
(IEEE, 2022)
Precise and quick monitoring of key cytometric features such as cell count, cell size, cell morphology,
and DNA content is crucial for applications in biotechnology, medical sciences, and cell culture research. Traditionally, ...
An LED-Based Structured Illumination Microscope Using A Digital Micromirror Device And GPU Accelerated Image Reconstruction
(PLOS, 2022)
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 ...