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Fabrication and Characterization of Large Numerical Aperture, High-Resolution Optical Fiber Bundles Based on High-Contrast Pairs of Soft Glasses for Fluorescence Imaging
(The Optical Society, 2019)
Fabrication and characterization of flexible optical fiber bundles (FBs) with inhouse
synthesized high-index and low-index thermally matched glasses are presented. The
FBs composed of around 15000 single-core fibers with ...
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 ...
Optosayısal Konfokal Mikroskop Tasarımı ve Kurulumu
(Institute of Electrical and Electronics Engineers (IEEE), 2017)
Standart epifloresans mikroskopiye kıyasla sunduğu yüksek
yanal ve eksenel çözünürlük nedeniyle konfokal mikroskopi
yaşam bilim araştırmalarında hayati bir araç haline gelmiştir.
Buna karşılık, konfokal mikroskoba erişim ...
Digital Holograms Obtained Using Advanced Evolution Strategies
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
By changing the amplitude and phase of
optical beams digital holography allows for the generation
of desired target images at the focus of a lens. It is an
important research challenge to determine the digital
hologram ...
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 ...
Sinüzoidal Aydınlatma Desenleri Kullanılarak Frekans Uzayında Görüntü Yeniden Yapılandırma
(IEEE, 2021)
Yapılandırılmış Aydınlatma Desenleri (Structured
Illumination Patterns) mikroskobik görüntülemede, kırımın limitinin
(diffraction limit) aşılarak süper çözünürlüklü görüntünün
elde edilmesini sağlamak için kullanılan ...
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 ...
Az Örnekli Öğrenme ile Mikroskobik Görüntülerden Maya Hücresi Segmentasyonu
(IEEE, 2021)
Mikroskobik görüntülerden otomatik hücre segmentasyonu,
derin sinir ağları veya görüntü işleme teknikleri kullanılarak
yapılabilmektedir. Bu tekniklerin ayrı ayrı problemleri
ve zorlukları bulunmakla birlikte özellikle ...
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 ...
