↓ Skip to main content

Real-time imaging of microparticles and living cells with CMOS nanocapacitor arrays

Overview of attention for article published in Nature Nanotechnology, August 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

blogs
1 blog
twitter
7 X users
patent
18 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
124 Dimensions

Readers on

mendeley
195 Mendeley
citeulike
1 CiteULike
Title
Real-time imaging of microparticles and living cells with CMOS nanocapacitor arrays
Published in
Nature Nanotechnology, August 2015
DOI 10.1038/nnano.2015.163
Pubmed ID
Authors

C. Laborde, F. Pittino, H. A. Verhoeven, S. G. Lemay, L. Selmi, M. A. Jongsma, F. P. Widdershoven

Abstract

Platforms that offer massively parallel, label-free biosensing can, in principle, be created by combining all-electrical detection with low-cost integrated circuits. Examples include field-effect transistor arrays, which are used for mapping neuronal signals and sequencing DNA. Despite these successes, however, bioelectronics has so far failed to deliver a broadly applicable biosensing platform. This is due, in part, to the fact that d.c. or low-frequency signals cannot be used to probe beyond the electrical double layer formed by screening salt ions, which means that under physiological conditions the sensing of a target analyte located even a short distance from the sensor (∼1 nm) is severely hampered. Here, we show that high-frequency impedance spectroscopy can be used to detect and image microparticles and living cells under physiological salt conditions. Our assay employs a large-scale, high-density array of nanoelectrodes integrated with CMOS electronics on a single chip and the sensor response depends on the electrical properties of the analyte, allowing impedance-based fingerprinting. With our platform, we image the dynamic attachment and micromotion of BEAS, THP1 and MCF7 cancer cell lines in real time at submicrometre resolution in growth medium, demonstrating the potential of the platform for label/tracer-free high-throughput screening of anti-tumour drug candidates.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 1%
France 2 1%
Japan 2 1%
Italy 1 <1%
Singapore 1 <1%
Australia 1 <1%
China 1 <1%
United States 1 <1%
Unknown 184 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 28%
Researcher 38 19%
Student > Master 20 10%
Student > Doctoral Student 11 6%
Professor > Associate Professor 11 6%
Other 31 16%
Unknown 30 15%
Readers by discipline Count As %
Engineering 68 35%
Physics and Astronomy 24 12%
Chemistry 17 9%
Agricultural and Biological Sciences 15 8%
Materials Science 12 6%
Other 18 9%
Unknown 41 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 December 2023.
All research outputs
#1,641,891
of 23,509,253 outputs
Outputs from Nature Nanotechnology
#1,277
of 3,478 outputs
Outputs of similar age
#22,245
of 265,348 outputs
Outputs of similar age from Nature Nanotechnology
#29
of 75 outputs
Altmetric has tracked 23,509,253 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,478 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.1. This one has gotten more attention than average, scoring higher than 63% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,348 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.