WeChat Mini Program
Old Version Features

Design and Development of an Optical Prototype System: Preliminary Results

9TH EUROPEAN MEDICAL AND BIOLOGICAL ENGINEERING CONFERENCE, VOL 1, EMBEC 2024(2024)

Med Univ Varna

Cited 0|Views6
Abstract
The aim of this work is to develop and test a complete platform for an optical imaging system constructed in transmission geometry for both in-vivo and in-vitro imaging. The imaging system comprises of a visible light source, a CMOS camera, and an integrated hardware platform, designed for both rotational and linear movements, accommodating the placement of the imaged object. A comprehensive software framework is designed and implemented to govern the linear and rotational motions of the platform. The developed platform was tested with three samples to obtain optical images, which are shown together with the images from an optical microscope. Results showed that the prototype system is capable of obtaining planar images within a timeframe of less than 40 s. Future work will focus on optimizing image acquisition speed, conducting extensive validation, and expanding the system into three dimensions. This system is intended to complement the innovative prototype X-ray system currently in development by the ELPIDA group at the Medical University of Varna.
More
Translated text
Key words
optical imaging,prototype system,software framework
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined