scholarly journals Rapid Yeast Cell Viability Analysis by Using a Portable Microscope Based on the Fiber Optic Array and Simple Image Processing

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2092
Author(s):  
Weiming Wang ◽  
Hang Liu ◽  
Yan Yu ◽  
Fengyu Cong ◽  
Jun Yu
Keyword(s):  
Image Processing ◽  
Fiber Optic ◽  
Coupling Efficiency ◽  
Yeast Cells ◽  
Viability Analysis ◽  
Manual Counting ◽  
Microscope Imaging ◽  
Optic Array ◽  
Imaging Performance ◽  
Large Magnification

A fiber optic array (FOA) can be used as an alternative or a supplement to the lens in a microscope due to its large magnification, high coupling efficiency and extremely low distortion. Based on our previous research, this paper first demonstrated the resolution and field-of-view (FOV) of the microscope based on the FOA. To further validate the FOA microscope’s imaging capability, yeast activity and concentration were investigated by simple image processing. The results showed that the percentages of live and dead yeast cells correctly identified were 92.1% and 84.8%, except for the clusters, which agreed well with the manual counting methods. Then, the performances of the portable microscopes based on the FOA and lens were compared and the factors that affect the FOA microscope imaging performance were analyzed.

Validation of a new image analysis procedure for quantifying filamentous bacteria in activated sludge

2014 ◽  
Vol 70 (6) ◽  
pp. 955-963 ◽  
Author(s):  
Ewa Liwarska-Bizukojc ◽  
Marcin Bizukojc ◽  
Olga Andrzejczak
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Activated Sludge ◽  
Analysis Procedure ◽  
Automated Image Analysis ◽  
Filamentous Bacteria ◽  
Image Processing And Analysis ◽  
Manual Counting ◽  
Analysis Application ◽  
Activated Sludge Systems

Quantification of filamentous bacteria in activated sludge systems can be made by manual counting under a microscope or by the application of various automated image analysis procedures. The latter has been significantly developed in the last two decades. In this work a new method based upon automated image analysis techniques was elaborated and presented. It consisted of three stages: (a) Neisser staining, (b) grabbing of microscopic images, and (c) digital image processing and analysis. This automated image analysis procedure possessed the features of novelty. It simultaneously delivered data about aggregates and filaments in an individual calculation routine, which is seldom met in the procedures described in the literature so far. What is more important, the macroprogram performing image processing and calculation of morphological parameters was written in the same software which was used for grabbing of images. Previously published procedures required using two different types of software, one for image grabbing and another one for image processing and analysis. Application of this new procedure for the quantification of filamentous bacteria in the full-scale as well as laboratory activated sludge systems proved that it was simple, fast and delivered reliable results.

Seismic Observations of Four Thunderstorms Using an Underground Fiber-Optic Array

2021 ◽  
Author(s):  
Samuel Hone ◽  
Tieyuan Zhu
Keyword(s):  
Fiber Optic ◽  
Seismic Velocity ◽  
Ground Surface ◽  
State College ◽  
Full Waveform ◽  
Penn State ◽  
Distributed Acoustic Sensing ◽  
Back Azimuth ◽  
Optic Array ◽  
The Waves

Abstract Thunderstorms are a common atmospheric phenomenon that cause abundant acoustic disturbances, which can interact with the ground surface, creating a link between atmospheric and solid Earth processes. This article reports seismological observations of four thunderstorms through the spring and summer of 2019, as recorded by the distributed acoustic sensing fiber-optic array (4.9 km) on the Penn State campus in State College, Pennsylvania. With a dense sensor array in the local region, we are able to construct the seismic full waveform response of the thunderstorm events (hereafter referred to as thunderquakes) and track the wave propagation across the array. We use a time-domain grid search to obtain the back azimuth and slowness of the waves, and a modified Geiger’s method to pinpoint source locations of the thunderquakes. Correlated with the time of the recorded signal, this data allows reconstruction of thunderstorm movement as well as offering measurements of the seismic velocity.

Fiber-Optic Array Biosensors

2008 ◽  
Author(s):  
Rahela Ga��parac ◽  
David R. Walt
Keyword(s):  
Fiber Optic ◽  
Optic Array

scholarly journals Holographic pixel super-resolution in portable lensless on-chip microscopy using a fiber-optic array

Lab on a Chip ◽  
2011 ◽  
Vol 11 (7) ◽  
pp. 1276 ◽  
Author(s):  
Waheb Bishara ◽  
Uzair Sikora ◽  
Onur Mudanyali ◽  
Ting-Wei Su ◽  
Oguzhan Yaglidere ◽  
...  
Keyword(s):  
Fiber Optic ◽  
Super Resolution ◽  
On Chip ◽  
Optic Array

A liquid level sensor based on fiber optic array and magnetic coupling

2012 ◽  
Author(s):  
Wei He ◽  
Xuan Yu ◽  
Chenggang Wang ◽  
Cui Zhang ◽  
Bo Feng ◽  
...  
Keyword(s):  
Fiber Optic ◽  
Magnetic Coupling ◽  
Liquid Level ◽  
Level Sensor ◽  
Optic Array ◽  
Liquid Level Sensor

DESIGN AND EVALUATION OF A NEW ELECTROPHORETIC MOBILITY MEASUREMENT INSTRUMENT USING MICROELECTROPHORESIS SYSTEM WITH IMAGE PROCESSING METHOD

2017 ◽  
Vol 29 (05) ◽  
pp. 1750036
Author(s):  
Boon Yew Teoh ◽  
Misni Misran ◽  
Zhi Zhang Tan ◽  
Poh Foong Lee
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Electrophoretic Mobility ◽  
Bone Cells ◽  
Ph Value ◽  
Processing Method ◽  
Yeast Cells ◽  
Polystyrene Microsphere ◽  
The Real ◽  
Image Processing Method

Electrophoretic mobility (EPM) measurement on biological particles in fluids is well established. The current method in measuring EPM is using laser which the target particles are not visible. Additional morphology information is critical for the EPM measurement. Image processing is a promising method to obtain the EPM together with the morphology information. In this study, a setup of micro electrophoresis system with a compact CCD microscope was constructed. This setup was equipped with image processing method for capturing the images of the moving particles in an electric field. With the image processing method (Horn–Schunck method), the images captured were processed in real time to obtain the EPM of the particle. Velocity of the particles was then measured and the particles’ EPM was obtained. With the captured images of the particles in real time, the system can present the image of the targeted particle together with the EPM value. The setup of this prototype was calibrated with discrete particles (Polystyrene microsphere size of 10[Formula: see text][Formula: see text]m[Formula: see text] 5%) and with a magnification value of 125[Formula: see text]X. This system is suitable for the surface charge measurement of discrete particle with size in between 4[Formula: see text][Formula: see text]m and 20[Formula: see text][Formula: see text]m. Comparison of commercialized device with our laboratory setup for calibration on EPM of polystyrene beads had a variance of solely 13%. Measurement on yeast cells, normal (hFob 1.19) and cancer bone cells (U2OS) indicated that the EPM of yeast became highly negative in the pH value of 4.5 and 6.5. The negative EPM of the cancer cell is slightly larger than that of the normal cell for pH ranging from 4.4 to 5.0. In conclusion, the real-time EPM measurement set up for this study is able to display the real-time images of the moving particles in fluid suspension during measurement.

Absorbance-Corrected Synchronous Fluorescence with a Fiber-Optic-Based Fluorometer

1995 ◽  
Vol 49 (7) ◽  
pp. 1041-1047 ◽  
Author(s):  
Mark A. Victor ◽  
Stanley R. Crouch
Keyword(s):  
Transfer Function ◽  
Fluorescence Spectroscopy ◽  
Fiber Optics ◽  
Fiber Optic ◽  
Coupling Efficiency ◽  
Synchronous Fluorescence ◽  
Fluorescence Measurement ◽  
Synchronous Fluorescence Spectroscopy ◽  
Inner Filter Effects ◽  
Filter Effects

Synchronous fluorescence spectroscopy is frequently used to resolve multiple components in mixtures without separation. However, uncompensated inner-filter effects can lead to unexpected and/or large quantitative errors. An instrument and a method that correct for primary and secondary inner-filter effects in synchronous fluorescence spectroscopy have been designed and characterized. A bifurcated fiber-optic-based diode array fluorometer that simultaneously measures front-surface fluorescence and absorbance was constructed. A transfer function that mathematically describes the coupling efficiency between the excitation and emission legs of the fiber optics is defined and characterized. Once characterized, such a fluorometer is capable of calculating what the fluorescence measurement would be in the absence of inner-filter effects. Several experimental procedures for determining the instrument's transfer function are compared and discussed. Applications of the various procedures to experimental fluorescence inner-filter corrections to problematic samples are demonstrated.

scholarly journals An integrated microfluidic device for the sorting of yeast cells using image processing

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Bo Yang Yu ◽  
Caglar Elbuken ◽  
Chong Shen ◽  
Jan Paul Huissoon ◽  
Carolyn L. Ren
Keyword(s):  
Image Processing ◽  
Microfluidic Device ◽  
Yeast Cells
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