Imaging technology

About: Imaging technology is a research topic. Over the lifetime, 1450 publications have been published within this topic receiving 26186 citations.

Image Infusion of Photoacoustic Imaging Based on Novel Adjustable Hand-held Probe

Abstract: Photoacoustic imaging (PAI) is developing rapidly as a new kind of imaging technology. Conventional photoacoustic imaging devices are expensive, cumbersome, and illumination schemes are not adjustable, which significantly limit their development in clinical application. We designed an automated hand-held PA probe with adjustable illumination angle, spot size and distance. We also developed an adaptive control system for controlling the probe to achieve optimum illumination. Simulated scanning process on human brain model is performed to obtain photoacoustic images at various locations. Through image fusion algorithm, the images of each position are spliced and fused. Finally, the infused PA image of the human brain is obtained with higher contrast and fidelity.

Automated Micro-Object Detection for Mobile Diagnostics Using Lens-Free Imaging Technology.

Abstract: Lens-free imaging technology has been extensively used recently for microparticle and biological cell analysis because of its high throughput, low cost, and simple and compact arrangement. However, this technology still lacks a dedicated and automated detection system. In this paper, we describe a custom-developed automated micro-object detection method for a lens-free imaging system. In our previous work (Roy et al.), we developed a lens-free imaging system using low-cost components. This system was used to generate and capture the diffraction patterns of micro-objects and a global threshold was used to locate the diffraction patterns. In this work we used the same setup to develop an improved automated detection and analysis algorithm based on adaptive threshold and clustering of signals. For this purpose images from the lens-free system were then used to understand the features and characteristics of the diffraction patterns of several types of samples. On the basis of this information, we custom-developed an automated algorithm for the lens-free imaging system. Next, all the lens-free images were processed using this custom-developed automated algorithm. The performance of this approach was evaluated by comparing the counting results with standard optical microscope results. We evaluated the counting results for polystyrene microbeads, red blood cells, and HepG2, HeLa, and MCF7 cells. The comparison shows good agreement between the systems, with a correlation coefficient of 0.91 and linearity slope of 0.877. We also evaluated the automated size profiles of the microparticle samples. This Wi-Fi-enabled lens-free imaging system, along with the dedicated software, possesses great potential for telemedicine applications in resource-limited settings.

Access to Imaging Technology in the Developing World

Abstract: Diagnostic imaging technologies have changed the way physicians both diagnose and manage patients. Unfortunately, as per the World Health Organization (WHO), almost two-thirds of the world, primarily in developing countries, lacks access to basic imaging technology. Clearly a shocking statistic, it puts into the limelight another key point: How does one define “access?” This chapter begins by exploring the various aspects that make up the term “access” before delving into not only what diagnostic technologies are essential in the developing world but also how the WHO has gone about measuring access to imaging technology around the world. In addition, it sheds light on the steps that remain to determine the overall gap in adequate access to diagnostic imaging technology. By understanding what has been done and what remains to be done, one can construct a better picture of how to close the gap in access to imaging technology around the word.

Ion image sensors and their application for visualization of neural activity

Abstract: One of the merits of fusing LSI technology with sensor technology is arraying The LSI sensor technology can array more than 1000 devices, enabling it to be used as a tool for visualization Among the five senses of human beings, the eyes provide about 80% By visualizing a phenomenon, it is easy to understand it intuitively The fusion of sensor technology with LSI technology is changing the role of sensors from "tools for measurement" to "tools for understanding" In the biomedical field, imaging technology has become important for understanding information obtained from organic activity Solid-state-type bio image sensors fusing biosensor technology with CMOS technology are attractive devices for use as bio/chemical imaging tools, because an optical image sensor combining photodiodes and CMOS readout circuits can be fabricated with state-of-the art technology CMOS-based bio-image sensors have the potential to acquire the local distribution of neurotransmitters, ions, and chemical species in a solution and organic matter without optical labels