| Title |
Label-Free Single-Particle Imaging of the Influenza Virus by Objective-Type Total Internal Reflection Dark-Field Microscopy
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049208 |
| Pubmed ID | |
| Authors |
Sawako Enoki, Ryota Iino, Nobuhiro Morone, Kunihiro Kaihatsu, Shouichi Sakakihara, Nobuo Kato, Hiroyuki Noji |
| Abstract |
Here we report label-free optical imaging of single particles of the influenza virus attached on a glass surface with a simple objective-type total internal reflection dark-field microscopy (TIRDFM). The capability of TIRDFM for the imaging of single viral particles was confirmed from fine correlation of the TIRDFM images with fluorescent immunostaining image and scanning electron microscopy image. The density of scattering spots in the TIRDFM images showed a good linearity against the virus concentration, giving the limit of detection as 1.2×10(4) plaque-forming units per milliliter. Our label-free optical imaging method does require neither elaborated sample preparation nor complex optical systems, offering a good platform for rapid and sensitive counting of viral particles. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 82 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 27% |
| Researcher | 18 | 21% |
| Student > Bachelor | 8 | 10% |
| Student > Master | 5 | 6% |
| Student > Doctoral Student | 3 | 4% |
| Other | 10 | 12% |
| Unknown | 17 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 13 | 15% |
| Agricultural and Biological Sciences | 13 | 15% |
| Physics and Astronomy | 12 | 14% |
| Biochemistry, Genetics and Molecular Biology | 10 | 12% |
| Engineering | 7 | 8% |
| Other | 8 | 10% |
| Unknown | 21 | 25% |