Please wait ...
0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
Computational Microscopy Based on Fourier Ptychography using Embedded Architecture
Authors :
Rezvan Mir
1
Abedin Vahedian
2
1- Ferdowsi university of mashhad
2- Ferdowsi university of mashhad
Keywords :
Fourier Ptychography،embedded system،super-resolution enhancement،sub-micron resolution
Abstract :
Conventional imaging systems demonstrate a clear trade-off between resolution and field-of-view in acquired images. This review discusses a new method called Fourier Ptychography (FP), which leverages super-resolution to overcome this trade-off in image generation. Specifically, FP sequentially captures low-resolution images under different illumination angles and stitches them in the frequency domain. The variety of angles enables access to multiple frequency regions. This method can be implemented on simple microscopes with an exchange of optical design complexity for computational complexity to achieve high-quality imaging. This paper demonstrates how to use FP in a fast, robust, and low-cost manner. An experimental model using an embedded system, namely Raspberry Pi 4, a low-cost microscope, is proposed to achieve super-resolution enhancement and wide-field imaging with sub-micron resolution. This microscopy can be assembled using a collection of readily available parts.
Papers List
List of archived papers
GAP: Fault tolerance Improvement of Convolutional Neural Networks through GAN-aided Pruning
Pouya Hosseinzadeh - Yasser Sedaghat - Ahad Harati
GroupRec: Group Recommendation by Numerical Characteristics of Groups in Telegram
Davod Karimpour - Mohammad Ali Zare Chahooki - Ali Hashemi
Reliability Evaluation of 4:2 Compressors Based on Hammock Networks
Farshad Safaei - Mohammad mahdi Emadi Kouchak - Sara Talebpour
SingAll: Scalable Control Flow Checking for Multi-Process Embedded Systems
Mehdi Amininasab - Ahmad Patooghy - Mahdi Fazeli
FedFog: A Serverless and Privacy-Aware Federated Learning Simulator for Edge–Fog Networks
Seyed Vahid Hashemi Nik - Seyed Mohammad Mahdi Asaadi - Somayeh Sobati-M
Hardware-Efficient Pruned CNN Optimized by Neural Architecture Search and Genetic Algorithm for Diabetic Retinopathy Detection on STM32F746
Omid Askari Haddad - Sara Ershadi-Nasab
Analysis of Insect-plant Interactions Affected by Mining operations, A Graph Mining Approach
Mohammad Heydari - Ali Bayat - Amir Albadvi
Robustness Scan of Digital Circuits Using Convolutional Neural Networks
Mobin Vaziri - Mohammad Mehdi Rahimifar - Hadi Jahanirad
Towards Transparent and Accurate Story Point Estimation via Interpretable BERT-based Modeling
Seyed Emad Baradaran Hosseini - Maryam Khodabakhsh - Alireza Tajary - Seyedehfatemeh Karimi
Distilled BERT Model In Natural Language Processing
Yazdan Zandiye Vakili - Avisa Fallah - Hedieh Sajedi
more
Samin Hamayesh - Version 44.12.3