dc.contributor.author | Hermes, M | |
dc.contributor.author | Morrish, RB | |
dc.contributor.author | Huot, L | |
dc.contributor.author | Meng, L | |
dc.contributor.author | Junaid, S | |
dc.contributor.author | Tomko, J | |
dc.contributor.author | Lloyd, GR | |
dc.contributor.author | Masselink, WT | |
dc.contributor.author | Tidemand-Lichtenberg, P | |
dc.contributor.author | Pedersen, C | |
dc.date.accessioned | 2018-03-06T10:44:39Z | |
dc.date.issued | 2018-01-24 | |
dc.description.abstract | Mid-infrared (MIR) imaging has emerged as a valuable tool to investigate biological samples,
such as tissue histological sections and cell cultures, by providing non-destructive chemical
specificity without recourse to labels. While feasibility studies have shown the capabilities of
MIR imaging approaches to address key biological and clinical questions, these techniques are
still far from being deployable by non-expert users. In this review, we discuss the current state of
the art of MIR technologies and give an overview on technical innovations and developments
with the potential to make MIR imaging systems more readily available to a larger community.
The most promising developments over the last few years are discussed here. They include
improvements in MIR light sources with the availability of quantum cascade lasers and
supercontinuum IR sources as well as the recently developed upconversion scheme to improve
the detection of MIR radiation. These technical advances can substantially speed up data
acquisition of multispectral or hyperspectral datasets thus providing the end user with vast
amounts of data when imaging whole tissue areas of many mm2
. Therefore, effective data
analysis is of tremendous importance, and progress in method development is discussed with
respect to the specific biomedical context. | en_GB |
dc.description.sponsorship | Funding within the scope of Horizon 2020 by the European
Union is highly appreciated. This work was conducted as part
of the Mid-TECH Marie Curie innovative training network
[H2020-MSCA-ITN-2014-642661]. | en_GB |
dc.identifier.citation | Vol. 20 (2) 023002 | en_GB |
dc.identifier.doi | 10.1088/2040-8986/aaa36b | |
dc.identifier.uri | http://hdl.handle.net/10871/31854 | |
dc.language.iso | en | en_GB |
dc.publisher | IOP Publishing | en_GB |
dc.rights.embargoreason | Under embargo until 24 January 2019 in compliance with publisher policy. | en_GB |
dc.rights | © 2018 IOP Publishing Ltd
Original content from this work may be used under the terms
of the Creative Commons Attribution 3.0 licence. Any
further distribution of this work must maintain attribution to the author(s) and
the title of the work, journal citation and DOI. | en_GB |
dc.subject | chemical imaging | en_GB |
dc.subject | spectral histopathology | en_GB |
dc.subject | discrete frequency IR imaging | en_GB |
dc.subject | QCL | en_GB |
dc.subject | upconversion | en_GB |
dc.subject | supercontinuum generation | en_GB |
dc.subject | FTIR | en_GB |
dc.title | Mid-IR hyperspectral imaging for label-free histopathology and cytology | en_GB |
dc.type | Article | en_GB |
dc.identifier.issn | 2040-8986 | |
dc.description | This is the author accepted manuscript. The final version is available from IOP Publishing via the DOI in this record. | en_GB |
dc.identifier.journal | Journal of Optics | en_GB |