Multispinneret Methodologies for High Throughput Electrospun Nanofiber

2002 ◽  
Vol 752 ◽  
Author(s):  
Jeremy Bowman ◽  
Malcolm Taylor ◽  
Vikram Sharma ◽  
Anne Lynch ◽  
Suneet Chadha
Keyword(s):  
High Throughput ◽  
Pilot Scale ◽  
Electrospinning Process ◽  
Electrospun Nanofiber ◽  
Wide Range ◽  
Nanofiber Membranes ◽  
Commercial Applications

ABSTRACTThe overall objective of the Electrospinning program at Foster-Miller is to develop a semi-automated, pilot scale machinery capable of producing nanofiber membranes at reasonable scales so that they can be evaluated for a wide range of military and commercial applications. This paper discusses the development of a high throughput electrospinning process

Conducting and Biopolymer Based Electrospun Nanofiber Membranes for Wound Healing Applications

2016 ◽  
Vol 12 (2) ◽  
pp. 220-227 ◽  
Author(s):  
Mohammad R. Karim ◽  
Abdurahman Al-Ahmari ◽  
M.A. Dar ◽  
M.O. Aijaz ◽  
M.L. Mollah ◽  
...  
Keyword(s):  
Wound Healing ◽  
Electrospun Nanofiber ◽  
Nanofiber Membranes

scholarly journals Multifunctional Fibroblasts Enhanced via Thermal and Freeze-Drying Post-treatments of Aligned Electrospun Nanofiber Membranes

2021 ◽  
Vol 3 (1) ◽  
pp. 26-37
Author(s):  
Ya Li ◽  
Qian Shen ◽  
Jing Shen ◽  
Xinbo Ding ◽  
Tao Liu ◽  
...  
Keyword(s):  
Freeze Drying ◽  
Electrospun Nanofiber ◽  
Nanofiber Membranes

scholarly journals Electrospun nanofiber membranes from polysulfones with chiral selector aimed for optical resolution

2012 ◽  
Vol 48 (10) ◽  
pp. 1717-1725 ◽  
Author(s):  
Hiroaki Mizushima ◽  
Masakazu Yoshikawa ◽  
Nanwen Li ◽  
Gilles P. Robertson ◽  
Michael D. Guiver
Keyword(s):  
Optical Resolution ◽  
Chiral Selector ◽  
Electrospun Nanofiber ◽  
Nanofiber Membranes

Femtosecond laser structuring of permeable and resorbable biomaterial

2021 ◽  
Vol 7 (2) ◽  
pp. 713-716
Author(s):  
Swen Grossmann ◽  
Sabine Illner ◽  
Robert Ott ◽  
Grit Rhinow ◽  
Carsten Tautorat ◽  
...  
Keyword(s):  
Femtosecond Laser ◽  
Biomedical Applications ◽  
Mechanical Characteristics ◽  
Membrane Properties ◽  
Fiber Network ◽  
Laser Technology ◽  
Laser Structuring ◽  
Wide Range ◽  
Nanofiber Membranes ◽  
Post Production

Abstract Bioresorbable nanofiber nonwovens with their fascinating properties provide a wide range of potential biomedical applications. Modification of the material enables the adjustment of mechanical and biological characteristics depending on the desired application. Due to the nanosized fiber network, post-production structuring is very challenging. Within this study, we use femtosecond laser technology for structuring permeable and resorbable electrospun poly-L-lactide (PLLA) membranes. We show that this post-production process can be used without disturbing the fiber network near the structured areas. Furthermore, the modification of the water permeability and mechanical characteristics due to the laser structuring was investigated. The results prove femtosecond laser technology to be a promising method for the adjustment of the membrane properties and which in consequence can help to optimize cell adhesion, enable revascularization and open up applications of nanofiber membranes in personalized medicine.

scholarly journals Mito Hacker: a set of tools to enable high-throughput analysis of mitochondrial network morphology

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ali Rohani ◽  
Jennifer A. Kashatus ◽  
Dane T. Sessions ◽  
Salma Sharmin ◽  
David F. Kashatus
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Data Science ◽  
Structural Information ◽  
Morphological Changes ◽  
Mitochondrial Morphology ◽  
Single Cell Level ◽  
Mitochondrial Network ◽  
Cell Level ◽  
Wide Range

Abstract Mitochondria are highly dynamic organelles that can exhibit a wide range of morphologies. Mitochondrial morphology can differ significantly across cell types, reflecting different physiological needs, but can also change rapidly in response to stress or the activation of signaling pathways. Understanding both the cause and consequences of these morphological changes is critical to fully understanding how mitochondrial function contributes to both normal and pathological physiology. However, while robust and quantitative analysis of mitochondrial morphology has become increasingly accessible, there is a need for new tools to generate and analyze large data sets of mitochondrial images in high throughput. The generation of such datasets is critical to fully benefit from rapidly evolving methods in data science, such as neural networks, that have shown tremendous value in extracting novel biological insights and generating new hypotheses. Here we describe a set of three computational tools, Cell Catcher, Mito Catcher and MiA, that we have developed to extract extensive mitochondrial network data on a single-cell level from multi-cell fluorescence images. Cell Catcher automatically separates and isolates individual cells from multi-cell images; Mito Catcher uses the statistical distribution of pixel intensities across the mitochondrial network to detect and remove background noise from the cell and segment the mitochondrial network; MiA uses the binarized mitochondrial network to perform more than 100 mitochondria-level and cell-level morphometric measurements. To validate the utility of this set of tools, we generated a database of morphological features for 630 individual cells that encode 0, 1 or 2 alleles of the mitochondrial fission GTPase Drp1 and demonstrate that these mitochondrial data could be used to predict Drp1 genotype with 87% accuracy. Together, this suite of tools enables the high-throughput and automated collection of detailed and quantitative mitochondrial structural information at a single-cell level. Furthermore, the data generated with these tools, when combined with advanced data science approaches, can be used to generate novel biological insights.

scholarly journals Novel High-Throughput Detection Method To Assess Bacterial Surfactant Production

2010 ◽  
Vol 76 (16) ◽  
pp. 5363-5372 ◽  
Author(s):  
Adrien Y. Burch ◽  
Briana K. Shimada ◽  
Patrick J. Browne ◽  
Steven E. Lindow
Keyword(s):  
Pseudomonas Syringae ◽  
High Throughput ◽  
Water Drop ◽  
Bacterial Strains ◽  
Swarming Motility ◽  
Detection Assay ◽  
Wide Range ◽  
Surfactant Production ◽  
Transposon Mutants ◽  
High Throughput Detection

ABSTRACT A novel biosurfactant detection assay was developed for the observation of surfactants on agar plates. By using an airbrush to apply a fine mist of oil droplets, surfactants can be observed instantaneously as halos around biosurfactant-producing colonies. This atomized oil assay can detect a wide range of different synthetic and bacterially produced surfactants. This method could detect much lower concentrations of many surfactants than a commonly used water drop collapse method. It is semiquantitative and therefore has broad applicability for uses such as high-throughput mutagenesis screens of biosurfactant-producing bacterial strains. The atomized oil assay was used to screen for mutants of the plant pathogen Pseudomonas syringae pv. syringae B728a that were altered in the production of biosurfactants. Transposon mutants displaying significantly altered surfactant halos were identified and further analyzed. All mutants identified displayed altered swarming motility, as would be expected of surfactant mutants. Additionally, measurements of the transcription of the syringafactin biosynthetic cluster in the mutants, the principal biosurfactant known to be produced by B728a, revealed novel regulators of this pathway.

Electrospun Nanofiber Membranes for Membrane Distillation

2019 ◽  
pp. 107-140
Author(s):  
Jiaxin Guo ◽  
Bhaskar Jyoti Deka ◽  
Alicia Kyoungjin An
Keyword(s):  
Membrane Distillation ◽  
Electrospun Nanofiber ◽  
Nanofiber Membranes
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