Nano-crater Array
Nano-crater Array - Related Videos
11:56
Fluorescence Imaging with One-nanometer Accuracy (FIONA)
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Cited by 11 •
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Single fluorophores can be localized with nanometer precision using FIONA. Here a summary of the FIONA technique is reported, and how to carry out FIONA experiments is described.
09:16
Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
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Cited by 7 •
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Array CGH for the detection of genomic copy number variants has replaced G-banded karyotype analysis. This paper describes the technology and its application in a diagnostic service laboratory.
10:25
Sub-nanometer Resolution Imaging with Amplitude-modulation Atomic Force Microscopy in Liquid
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Cited by 40 •
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We present a method for achieving sub-nanometer resolution images with amplitude-modulation (tapping mode) atomic force microscopy in liquid. The method is demonstrated on commercial atomic force microscopes. We explain the rationale behind our choices of parameters and suggest strategies for resolution optimization.
08:15
Polymeric Microneedle Array Fabrication by Photolithography
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Cited by 25 •
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Here, we present a protocol describing a mold-free fabrication process of the polymeric microneedles by photolithography.
19:40
Design and Use of Multiplexed Chemostat Arrays
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Cited by 92 •
2013
We developed and validated a small-footprint array of miniature chemostats built from readily available parts for low cost. Physiological and experimental evolution results were similar to larger volume chemostats. The ministat array provides a compact, inexpensive, and accessible platform for traditional chemostat experiments, functional genomics, and chemical screening applications.
FAQs
These geometric variables determine how much structured surface is presented to an adjoining material or environment. Changing diameter or depth can modify wettability, adhesion, friction, optical response, and interactions with particles or biological materials, while spacing controls the regularity and density of features. Comparing arrays with different geometries helps engineers link a specific architectural change to a measurable surface response.
Fabrication conditions govern the extent and arrangement of localized material removal or deformation. Small changes in those conditions can alter crater diameter, depth, spacing, and pattern quality, which may consequently change surface properties. Controlling these conditions is therefore essential when researchers need repeatable samples, reliable comparisons, or a targeted interface response.
A regularly arranged pattern provides a controlled baseline for studying how surface architecture affects performance. Researchers can compare samples while changing selected geometric features, such as crater size, depth, or spacing, rather than evaluating an uncontrolled surface. This approach supports clearer interpretation of changes in wettability, adhesion, friction, optical response, or material interactions.
A useful workflow begins by selecting fabrication conditions intended to produce the desired crater dimensions and spacing. The resulting surface is then examined for its diameter, depth, and overall pattern before testing properties such as wettability, adhesion, optical response, or friction. Relating those measurements to the engineered geometry reveals whether the surface meets its intended functional requirements.
Engineers use these patterned surfaces when they need a repeatable platform for studying or tailoring interfacial behavior. The arrays can support investigations of wettability, adhesion, friction, optical response, and interactions with particles or biological materials. Their controlled geometry also makes them useful for comparing surface designs during development of functional coatings, sensors, and micro- or nanostructured devices.
The principal outcome is a structured interface whose behavior can be related to measurable nanoscale geometry. Depending on the design and fabrication conditions, an array may help tailor wetting, adhesion, friction, optical response, or interactions with particles and biological materials. This relationship supports engineering decisions about coating design, sensor interfaces, and other micro- or nanostructured systems.