scholarly journals Light-Addressable Potentiometric Sensors in Microfluidics

2021 ◽  
Author(s):  
xueliang li ◽  
shibin liu ◽  
jie tan ◽  
chunsheng wu
Keyword(s):  
Imaging System ◽  
Enzymatic Reaction ◽  
Chemical Imaging ◽  
Droplet Microfluidics ◽  
Potentiometric Sensors ◽  
Ion Diffusion ◽  
Two Dimensional Image ◽  
Nernst Potential ◽  
Analysis System ◽  
Light Addressable Potentiometric Sensor

Light-addressable potentiometric sensor (LAPS) is an electrochemical sensor based on the field-effect principle of semiconductor. It is able to sense the change of Nernst potential on the sensor surface, and the measuring area can be controlled by the illumination. Due to the unique light-addressable ability of LAPS, the chemical imaging system constructed with LAPS can realize the two-dimensional image distribution detection of chemical/biomass. In this paper, the advantages of LAPS as sensing unit of microelectrochemical analysis system are summarized. Then, the greatest development of LAPS analysis system is explained and discussed. Especially, this paper focused on the research of ion diffusion, enzymatic reaction, microbial metabolism and droplet microfluidics by using LAPS analysis system. Finally, the development trends and prospects of LAPS analysis system are illustrated.

EXPRESS: Design Considerations for Discrete Frequency Infrared Microscopy Systems

2021 ◽  
pp. 000370282110133
Author(s):  
Rohit Bhargava ◽  
Yamuna Dilip Phal ◽  
Kevin Yeh
Keyword(s):  
Imaging System ◽  
Chemical Imaging ◽  
Optical Component ◽  
Imaging Systems ◽  
Imaging Data ◽  
Discrete Frequency ◽  
Figures Of Merit ◽  
Design Considerations ◽  
Hardware Implementations ◽  
Measurement Capabilities

Discrete frequency infrared (DFIR) chemical imaging is transforming the practice of microspectroscopy by enabling a diversity of instrumentation and new measurement capabilities. While a variety of hardware implementations have been realized, considerations in the design of all-IR microscopes have not yet been compiled. Here we describe the evolution of IR microscopes, provide rationales for design choices, and the major considerations for each optical component that together comprise an imaging system. We analyze design choices in illustrative examples that use these components to optimize performance, under their particular constraints. We then summarize a framework to assess the factors that determine an instrument’s performance mathematically. Finally, we summarize the design and analysis approach by enumerating performance figures of merit for spectroscopic imaging data that can be used to evaluate the capabilities of imaging systems or suitability for specific intended applications. Together, the presented concepts and examples should aid in understanding available instrument configurations, while guiding innovations in design of the next generation of IR chemical imaging spectrometers.

scholarly journals Simultaneous Feulgen densitometry and autoradiographic grain counting with the Quantimet 720D image-analysis system. III. Improvements in Feulgen densitometry.

1983 ◽  
Vol 31 (10) ◽  
pp. 1224-1232 ◽  
Author(s):  
R J Sklarew
Keyword(s):  
Image Analysis ◽  
Imaging System ◽  
Rat Kidney ◽  
Light Sources ◽  
Kidney Cells ◽  
Image Analysis System ◽  
Replication Error ◽  
Feulgen Densitometry ◽  
Optical Configuration ◽  
Analysis System

A method has been developed for densitometric estimation of the Feulgen-stained DNA content of 3H-labeled nuclei in autoradiographs in conjunction with automated grain counting using a Quantimet Imaging System. Refinements in the methodology are reported which include 1) the incorporation of an Image-Editor Module into the Quantimet module configuration; 2) the optimization of incident illumination based upon evaluation of various light sources; 3) changes in the optical configuration which reduce glare and minimize the level of monitor shading correction; 4) the optimization of scanner sensitivity; and 5) the evaluation of cell-flattening and staining with respect to densitometry resolution and sensitivity. These refinements resulted in a CV of less than 6.4% in the G-1 and G-2 DNA peaks of rat kidney cells in autoradiographs compared to the previous CV of 10.5%, and a G-2 to G-1 ratio of 2.025. For a fixed field position the CV was 5.1% and the replication error less than 1.0%.

Advances in the Application of the Dual Fluoroscopic Imaging System in Sports Medicine: A Literature Review

2021 ◽  
Vol 11 (8) ◽  
pp. 2067-2076
Author(s):  
Cui Zhang ◽  
Xiaole Sun ◽  
Yunqi Tang ◽  
Shaobai Wang ◽  
Dongqiang Ye ◽  
...  
Keyword(s):  
Sports Medicine ◽  
Soft Tissues ◽  
Imaging System ◽  
Relevant Literature ◽  
Test Results ◽  
Non Invasive ◽  
Ligament Strain ◽  
Fluoroscopic Imaging ◽  
Analysis System ◽  
Six Degree Of Freedom

The dual fluoroscopic imaging system (DFIS) is a new non-invasive motion analysis system that does not interfere with movement, has high precision and repeatability and is not affected by the errors caused by the relative movement of skin and soft tissues. DFIS has been recently used in the field of sports medicine. This narrative review focuses on relevant literature on the origin, development and mechanism of action of DFIS and summarises the application of DFIS in injury and rehabilitation treatment, such as the reliability of test results; the position relationships of bony structures in the shoulder, lumbar spine, knee joint and ankle joint during exercise and its six degree-of-freedom (6DOF) movement to calculate cartilage deformation, contact area/trajectory and ligament strain. This article puts forward the problems encountered in practice that need to be solved and looks forward to the future applications of DFIS in the field of sports, especially in injury prevention and treatment.

scholarly journals Novel combination of digital light processing (DLP) and light-addressable potentiometric sensors (LAPS) for flexible chemical imaging

2010 ◽  
Vol 5 ◽  
pp. 520-523 ◽  
Author(s):  
Torsten Wagner ◽  
Ko-ichiro Miyamoto ◽  
Michael J. Schöning ◽  
Tatsuo Yoshinobu
Keyword(s):  
Chemical Imaging ◽  
Potentiometric Sensors ◽  
Digital Light Processing

Industrial Applications of Near-Infrared Chemical Imaging Microscopy

2001 ◽  
Vol 7 (S2) ◽  
pp. 162-163
Author(s):  
EN Lewis ◽  
LH Kidder ◽  
KS Haber
Keyword(s):  
Spatial Distribution ◽  
Near Infrared ◽  
Imaging System ◽  
Raw Materials ◽  
Single Point ◽  
Nir Spectroscopy ◽  
Chemical Imaging ◽  
Industrial Applications ◽  
Chemical Information ◽  
Spatially Resolved

Single point near-infrared (NIR) spectroscopy is used extensively for characterizing raw materials and finished products in a wide variety of industries: polymers, paper, film, pharmaceuticals, paintings and coatings, food and beverages, agricultural products. As advanced industrial materials become more complex, their functionality is often determined by the spatial distribution of their discrete sample constituents. However, conventional single point NIR spectroscopy cannot adequately probe the interrelationship between the spatial distribution of sample components with the physical properties of the sample. to fully characterize these samples, it is necessary to probe simultaneously spatial and chemical heterogeneity and correlate these properties with sample characteristics.Recently, we have developed a novel NIR imaging spectrometer that can deliver spatially resolved chemical information very rapidly. in contrast to conventional, single point NIR spectrometers, the imaging system uses an infrared focal-plane array (FPA) to collect up to 76,800 complete spectra, one for each pixel on the array, in approximately one minute.

Development of a Digital Analysis System to Evaluate Peanut Maturity

2014 ◽  
Vol 41 (1) ◽  
pp. 8-16 ◽  
Author(s):  
B. C. Colvin ◽  
D. L. Rowland ◽  
J. A. Ferrell ◽  
W. H. Faircloth
Keyword(s):  
Imaging System ◽  
Extension Agents ◽  
Current Profile ◽  
Color Classification ◽  
Color Class ◽  
Scanned Image ◽  
Overall Performance ◽  
Pixel Color ◽  
Analysis System

ABSTRACT The profile color class method developed by Williams and Drexler in 1981 for the prediction of peanut harvest has proven to be a relative description of peanut maturity and is currently used by growers. However, the method requires the subjective visual classification of pods based on the development of color in the mesocarp layer of the hull which naturally introduces variability and possible error in maturity prediction based solely on observer bias. A Digital Image Model (DIM) was developed to eliminate subjectivity in pod color classification. The DIM is a method in which a scanned image of pod mesocarp colors is analyzed using a color definition algorithm. The final output of the DIM is a ratio of pixel color classes. To develop the DIM, replicated plots were established in Florida in 2010 and 2011 and sequentially harvested starting at 120 days after planting (DAP) and then progressing at wk intervals through 155 DAP. At harvest, yield and grade were evaluated for each plot and pod samples were collected for color classification by a single observer using the current profile board method. These same pod samples were then imaged and analyzed with the DIM method. The percentage of black and brown pods (mature pods) classified by the profile board and the DIM method were evaluated to determine the overall performance of the DIM in comparison to the profile board. The DIM method was successful in predicting the percentage of black and brown pods similarly to the profile board in both years with R2 0.63 to 0.82 with images acquired from the saddle region of the pod. There was more variability in matching the DIM prediction to the profile board when imaging pods from random regions, with R2 0.19 to 0.82. The goal of this research was to develop an imaging system that could be accessed by growers, consultants, and extension agents for objective analysis and prediction of peanut maturity.

Application of Medical Robot in the Aspect of Endoscope

2014 ◽  
Vol 484-485 ◽  
pp. 289-292
Author(s):  
Hui Xu
Keyword(s):  
3D Imaging ◽  
Imaging System ◽  
Research Direction ◽  
Depth Of Field ◽  
Stereoscopic Image ◽  
Medical Robot ◽  
Operation System ◽  
Two Dimensional Image ◽  
Laparoscopic Operation ◽  
Micro Robot

This paper introduces the limitation of traditional laparoscopic operation in the two-dimensional image,while an advantage of robot operation system is to use the most advanced 3D imaging system to make operation.It makes the operation target amplified 10 to times, which makes doctors see a depth-of-field, deep and stereoscopic image in the control platform, so as to make the operation more accurate and precise.The author, according to the driving types, classifies the development conditions of the representative cable endoscopy robot and wireless pill endoscope system, and discusses the research direction and prospect of the endoscopic treatment micro-robot.

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