
Fluorescence is one of the most important analytical methods used in biological studies. In the past decade or two, instrumentation in this field has greatly advanced, and now it is possible to detect single photons or fluorescent molecules [1,2], or break the Abbe diffraction limit to distinguish two points spaced less than 50 nm apart [3]. Concurrently, the development of improved fluorescent probes, which can be coupled with state-of-the-art instruments, has been equally important. This special issue on “fluorescent biosensors” in Sensors reports recent results from eight research groups in the field of sensor development. It includes three review articles, and six research articles reporting original results. [...]
Environmental management, Environmental Science and Management, Bioengineering, TP1-1185, Biosensing Techniques, Article, Fluorescence, Analytical Chemistry, Information and Computing Sciences, Humans, Electrical and Electronic Engineering, sensors and digital hardware, Ecology, Data Management and Data Science, Chemical technology, Distributed computing and systems software, 540, 543, n/a, Electrical engineering, Electronics, Distributed Computing, Biotechnology
Environmental management, Environmental Science and Management, Bioengineering, TP1-1185, Biosensing Techniques, Article, Fluorescence, Analytical Chemistry, Information and Computing Sciences, Humans, Electrical and Electronic Engineering, sensors and digital hardware, Ecology, Data Management and Data Science, Chemical technology, Distributed computing and systems software, 540, 543, n/a, Electrical engineering, Electronics, Distributed Computing, Biotechnology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
