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

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.

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An Integrated PDMS Microfluidic Device for Dielectrophoretic Separation of Malignant Cells

ASME 3rd International Conference on Microchannels and Minichannels, Part B cont’d ◽

10.1115/icmm2005-75063 ◽

2005 ◽

Author(s):

Thirukumaran T. Kanagasabapathi ◽

Colin Dalton ◽

Karan V. I. S. Kaler

Keyword(s):

Microfluidic Device ◽

Low Cost ◽

Polystyrene Latex ◽

Yeast Cells ◽

Microfluidic Channels ◽

Non Invasive ◽

Latex Beads ◽

Planar Electrodes ◽

And Performance ◽

Cancerous Cells

Dielectrophoresis (DEP) has been successfully applied and demonstrated to provide novel and non-invasive means for characterizing, manipulating, trapping, separating and isolating microscopic sized particles, including biological cells. In this article, we report on the design, fabrication and performance of a novel, low cost, integrated Poly(dimethylsiloxane) (PDMS)/DEP microfluidic device capable of controlled manipulation of microscopic sized cells and particles that can be simultaneously utilized both for DEP spectral analysis and cell sorting. We have prototyped microfluidic channels, with DEP microelectrodes incorporated within PDMS channels. Previously, we have evaluated the operation and performance of a prototype device using various dielectric and biological particles, including yeast cells and polystyrene latex beads. In this paper, we report initial experimental observations on malignant cancerous cells. Non-viable cells, due to positive DEP, were attracted to the planar electrodes at frequencies between 200–600 kHz and were clearly repelled from the electrodes, due to negative DEP, at frequencies above 10 MHz.

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Molecular phenotyping of aging in single yeast cells using a novel microfluidic device

Aging Cell ◽

10.1111/j.1474-9726.2012.00821.x ◽

2012 ◽

Vol 11 (4) ◽

pp. 599-606 ◽

Cited By ~ 66

Author(s):

Zhengwei Xie ◽

Yi Zhang ◽

Ke Zou ◽

Onn Brandman ◽

Chunxiong Luo ◽

...

Keyword(s):

Microfluidic Device ◽

Yeast Cells ◽

Molecular Phenotyping

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Design and Fabrication of Microfluidics Paper-Based Devices for Contaminant Detection Using aWax Printer

Electronic Imaging ◽

10.2352/issn.2470-1173.2021.16.color-339 ◽

2021 ◽

Vol 2021 (16) ◽

pp. 339-1-339-8

Author(s):

Qiyue Liang ◽

Min Zhao ◽

George T. C. Chiu ◽

Jan P. Allebach

Keyword(s):

Image Processing ◽

Microfluidic Device ◽

Low Cost ◽

Cost Effective ◽

Back Side ◽

Minimum Width ◽

Before And After ◽

Wax Printing ◽

Multiple Devices ◽

Processing Techniques

In this paper, we introduce an eight-channel paper-based microfluidic device that aims to detect multiple chemicals at once. The microfluidic device we propose is fabricated by wax printing on filter paper, which is trouble-free to handle, low cost, and easy to fabricate. As a hydrophobic material, wax (solid ink) defines the hydrophilic channels for testing. By using image processing techniques, we analyze the width change caused by heating of wax strokes and wax channels, which is a necessary step in the wax printing fabrications. In the same way, we test the minimum width of a channel that allows solutions to cross through and the minimum width of a barrier that is hydrophobic and blocks liquid flow. We also compare two different heating methods, the heat gun and the hot plate, by checking the wax channel width before and after heating based on our image processing pipeline. We conclude that a heat gun will be better for heating channels with relatively large widths. Using high resolution wax printing, we integrate multiple devices on a single paper, which makes this method very cost-effective. Lamination of wax-printed paper based devices is also analyzed, as leakage on the back side of paper is sometimes worth attention.

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Droplet movement control using fuzzy logic controller and image processing along with pin valves inside microfluidic device

Measurement and Control ◽

10.1177/0020294019877506 ◽

2019 ◽

Vol 52 (9-10) ◽

pp. 1517-1531 ◽

Cited By ~ 1

Author(s):

Faisal Mehmood ◽

Zeeshan Haider ◽

Umar Farooq ◽

Yin Baoqun

Keyword(s):

Image Processing ◽

Fuzzy Logic ◽

Microfluidic Device ◽

Fuzzy Logic Controller ◽

Active Contours ◽

Fuzzy Controller ◽

Microfluidic Channel ◽

Processing Algorithm ◽

Image Processing Algorithm ◽

Droplet Movement

Most of the research studies nowadays are trying to bring automation to biomedical engineering and Lab on a Chip which is fast growing interdisciplinary field and has attracted researchers from various fields. The objective of this paper is to present an overall system to control droplet movement inside microfluidic channel using fuzzy logic controller, image processing algorithm, and microvalves installed within microfluidic channel. A state space model has been derived from circuit analogy approach to describe the microfluidic network. Furthermore, a COMSOL-based study is primed for device structure by means of droplet generation and controlling the droplet through fitted valves. Moreover, an image processing algorithm based on active contours has been proposed in this research to track the movement of the droplet through the channel. This droplet controlling method is utterly based on fuzzy controller as well as camera images to move the droplet at desired position by controlling flow rates inside the fluidic channel using valves installed inside the microfluidic device. The results indicate that the fuzzy logic controller performs much better in terms of stability and faster response as compared to conventional proportional–integral–derivative controller.

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DEVELOPMENT OF IMAGE PROCESSING PROGRAM FOR YEAST CELL MORPHOLOGY

Journal of Bioinformatics and Computational Biology ◽

10.1142/s0219720004000363 ◽

2004 ◽

Vol 01 (04) ◽

pp. 695-709 ◽

Cited By ~ 44

Author(s):

MIWAKA OHTANI ◽

AYAKA SAKA ◽

FUMI SANO ◽

YOSHIKAZU OHYA ◽

SHINICHI MORISHITA

Keyword(s):

Image Processing ◽

Morphological Characteristics ◽

Living Organism ◽

Position Angle ◽

Growth Direction ◽

Yeast Cells ◽

Specific Morphology ◽

Processing Program ◽

Bud Growth ◽

Species Specific

Every living organism has its own species-specific morphology. Despite the relatively simple ellipsoidal shape of budding yeast cells, the global regulation of yeast morphology remains unclear. In the past, each mutated gene from many mutants with abnormal morphology had to be classified manually. To investigate the morphological characteristics of yeast in detail, we developed a novel image-processing program that extracts quantitative data from microscope images automatically. This program extracts data on cells that are often used by yeast morphology researchers, such as cell size, roundness, bud neck position angle, and bud growth direction, and fits an ellipse to the cell outline. We evaluated the ability of the program to extract quantitative parameters. The results suggest that our image-processing program can play a central objective role in yeast morphology studies.

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Application of Image Processing in Adaptation of Yeast to Environmental Conditions, Optimized by Autogegulatory Molecules and PSO

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.7.20344 ◽

2018 ◽

Vol 7 (4.7) ◽

pp. 1

Author(s):

A. A. Bajazitova ◽

F. G. Kupriyanova-Ashina ◽

A. I. Kolpakov ◽

M. A. Kharitonova ◽

O. N. Ilinskaya

Keyword(s):

Image Processing ◽

Environmental Conditions ◽

Growth Parameters ◽

Processing Technique ◽

Yeast Cells ◽

Image Processing Technique ◽

Signal Molecules ◽

Single System ◽

Virulence Analysis ◽

Phenotypic Manifestation

Unlike bacterial signal molecules, secreted yeast ones, which ensure their coordinated behavior as a single system, have been little studied. We used the image processing technique to evaluate the environmental conditions. Communication through quorum sensing molecules (QSM) is the dominant signaling in prokaryotic populations. In eukaryotic yeast cells, stress, caused primarily by the nutrient limit, causes a phenotypic manifestation of the mechanism of dimorphic switching, encompassing the repression of certain groups of genes and the activation of others, determining adhesion and virulence. Analysis of literature data and the results of the authors' own research emphasize the importance of signaling studies involving autoinducer molecules to elucidate the fundamental laws governing the regulation of yeast physiology, including growth parameters, morphogenesis and pathogenicity.

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A Fully Integrated System for Cell/Particle Sorting in a Microfluidic Device Utilizing an Optical Tweezing and DIP Recognition Approach

Materials Science Forum ◽

10.4028/www.scientific.net/msf.505-507.643 ◽

2006 ◽

Vol 505-507 ◽

pp. 643-648 ◽

Cited By ~ 4

Author(s):

Yu Sheng Chien ◽

Che Hsin Lin ◽

Fu Jen Kao ◽

Cheng Wen Ko

Keyword(s):

Image Processing ◽

Digital Image Processing ◽

Microfluidic Device ◽

Digital Image ◽

Microfluidic Channel ◽

Optical Tweezer ◽

Processing Technique ◽

Image Processing Technique ◽

Target Cells ◽

Digital Image Processing Technique

This paper proposes a novel microfluidic system for cell/microparticle recognition and manipulation utilizing a digital image processing technique (DIP) controlled optical tweezer under microfluidic configuration. Cell/microparticle samples are firstly electrokinetically sorted in a microfluidic channel and pass through an image detection region. Digital image processing technique is used to count and recognize the cell/particle samples and then sends control signals to generate laser pulses to manipulate the target cell/particles optically. The optical tweezer system is capable of catching, moving and switching the target cells within the microfluidic channel. The trapping force of the optical tweezer is also demonstrated utilizing the relationship between Stocks-drag force of microparticles and the applied electroosmotic flow. The proposed system provides a simple but high-performance solution for microparticle manipulation in a microfluidic device.

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