A new carbon nanoparticle-polymer composite for cell imprint lithography

Morphological features of cells play a vital role in cell research, drug delivery, diagnostic, therapeutic and many other applications. Bioimprint is a soft lithography technique used to obtain the imprint replica of cell morphology. Herein report a new process approach of morphology feature extract...

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Main Author:	Vigneswaran, Narayanamurthy
Format:	Thesis
Language:	English
Published:	2017
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/19592/1/A%20new%20carbon%20nanoparticle-polymer%20composite%20for%20cell%20imprint%20lithography..pdf
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spelling	my-ump-ir.195922023-01-26T04:38:01Z A new carbon nanoparticle-polymer composite for cell imprint lithography 2017-06 Vigneswaran, Narayanamurthy TK Electrical engineering. Electronics Nuclear engineering Morphological features of cells play a vital role in cell research, drug delivery, diagnostic, therapeutic and many other applications. Bioimprint is a soft lithography technique used to obtain the imprint replica of cell morphology. Herein report a new process approach of morphology feature extraction from the imprint replica technique. Morphological features like shape and size of cell, shape and size of nucleus, pores in the cell membrane can be imaged comparatively and the same can be detected. This technique helps to investigate the shape of grooves, pores, blebs or microvillus on the cellular surface and helps in better diagnosis and analysis at single cell level. However conventional method involving fixation, sectioning and viewing under scanning electron microscope (SEM) or transmission electron microscope (TEM) can provide cell’s inside anatomy details, although the process introduces variations in samples due to complex and tedious process involved. Also microfluidics-based biochip plays a vital role in single cell research applications. Handling and positioning of single cells at the microscale level is an essential need for quite various applications including genomics, proteomics, secretomics, and lysis analysis. Characterized the effect of microfluidic channel (straight channel, branched channel, and serpent channel) with a microwell array orientation for single cell trapping. Demonstrated microfluidic-based biochips capable of vertical cell trapping with a hexagonal array of microwells. Microwells were of 35 μm in diameter, a size sufficient to allow attachment of captured cells for short term study. Explained the process flow for the fabrication of the biochip. Single cell capture (SCC) capabilities of the microfluidic-biochips were found to be improving from the straight channel, branched channel, and serpent channel accordingly. Multiple cell capture (MCC) were in the order of decreasing from the straight channel, branch channel, and serpent channel. Among three designs investigated, serpent channel biochip offers high SCC with reduced MCC. Human lung cancer cells were used for characterization. The findings of this research is that developed a novel approach of carbon nanoparticle-polymer composite (CPC) for imaging technique for the cells, which can provide morphology information on single cell sub organelle scale in much detail. It is observed that 0.3 wt. % of load carbon nanoparticle (CNP) in carbon polymer mixture (CPM) were optimal for cell-imprint replica fabrication. The electrical resistance of the 3-CPC (0.3 wt. %) were reduced by 68 % when compared to N-CPC (0 wt. %). Electron microscopes were used to image the replica. Technique delivers cell image along with its complete sub cell scale level morphological details. The limitation of this technique is that, it only provides the morphology information. Thus abnormalities which do not designate on morphology cannot be diagnosed. This technique finds its application where single cells are to be analyzed and diagnosis for study based on morphology, especially for drug delivery applications and for investigations based on molecular pathways. As a future prospective, morphology features obtained through this technique can also be used to train the artificial neural network for decision making completely based on this technique. 2017-06 Thesis http://umpir.ump.edu.my/id/eprint/19592/ http://umpir.ump.edu.my/id/eprint/19592/1/A%20new%20carbon%20nanoparticle-polymer%20composite%20for%20cell%20imprint%20lithography..pdf pdf en public phd doctoral Universiti Malaysia Pahang Faculty of Electrical and Electronics Engineering Fahmi, Samsuri
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
advisor	Fahmi, Samsuri
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Vigneswaran, Narayanamurthy A new carbon nanoparticle-polymer composite for cell imprint lithography
description	Morphological features of cells play a vital role in cell research, drug delivery, diagnostic, therapeutic and many other applications. Bioimprint is a soft lithography technique used to obtain the imprint replica of cell morphology. Herein report a new process approach of morphology feature extraction from the imprint replica technique. Morphological features like shape and size of cell, shape and size of nucleus, pores in the cell membrane can be imaged comparatively and the same can be detected. This technique helps to investigate the shape of grooves, pores, blebs or microvillus on the cellular surface and helps in better diagnosis and analysis at single cell level. However conventional method involving fixation, sectioning and viewing under scanning electron microscope (SEM) or transmission electron microscope (TEM) can provide cell’s inside anatomy details, although the process introduces variations in samples due to complex and tedious process involved. Also microfluidics-based biochip plays a vital role in single cell research applications. Handling and positioning of single cells at the microscale level is an essential need for quite various applications including genomics, proteomics, secretomics, and lysis analysis. Characterized the effect of microfluidic channel (straight channel, branched channel, and serpent channel) with a microwell array orientation for single cell trapping. Demonstrated microfluidic-based biochips capable of vertical cell trapping with a hexagonal array of microwells. Microwells were of 35 μm in diameter, a size sufficient to allow attachment of captured cells for short term study. Explained the process flow for the fabrication of the biochip. Single cell capture (SCC) capabilities of the microfluidic-biochips were found to be improving from the straight channel, branched channel, and serpent channel accordingly. Multiple cell capture (MCC) were in the order of decreasing from the straight channel, branch channel, and serpent channel. Among three designs investigated, serpent channel biochip offers high SCC with reduced MCC. Human lung cancer cells were used for characterization. The findings of this research is that developed a novel approach of carbon nanoparticle-polymer composite (CPC) for imaging technique for the cells, which can provide morphology information on single cell sub organelle scale in much detail. It is observed that 0.3 wt. % of load carbon nanoparticle (CNP) in carbon polymer mixture (CPM) were optimal for cell-imprint replica fabrication. The electrical resistance of the 3-CPC (0.3 wt. %) were reduced by 68 % when compared to N-CPC (0 wt. %). Electron microscopes were used to image the replica. Technique delivers cell image along with its complete sub cell scale level morphological details. The limitation of this technique is that, it only provides the morphology information. Thus abnormalities which do not designate on morphology cannot be diagnosed. This technique finds its application where single cells are to be analyzed and diagnosis for study based on morphology, especially for drug delivery applications and for investigations based on molecular pathways. As a future prospective, morphology features obtained through this technique can also be used to train the artificial neural network for decision making completely based on this technique.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Vigneswaran, Narayanamurthy
author_facet	Vigneswaran, Narayanamurthy
author_sort	Vigneswaran, Narayanamurthy
title	A new carbon nanoparticle-polymer composite for cell imprint lithography
title_short	A new carbon nanoparticle-polymer composite for cell imprint lithography
title_full	A new carbon nanoparticle-polymer composite for cell imprint lithography
title_fullStr	A new carbon nanoparticle-polymer composite for cell imprint lithography
title_full_unstemmed	A new carbon nanoparticle-polymer composite for cell imprint lithography
title_sort	new carbon nanoparticle-polymer composite for cell imprint lithography
granting_institution	Universiti Malaysia Pahang
granting_department	Faculty of Electrical and Electronics Engineering
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/19592/1/A%20new%20carbon%20nanoparticle-polymer%20composite%20for%20cell%20imprint%20lithography..pdf
_version_	1783732042579574784

A new carbon nanoparticle-polymer composite for cell imprint lithography

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