dc.contributor.author
Kästner, B.
dc.contributor.author
Marschall, M.
dc.contributor.author
Hornemann, A.
dc.contributor.author
Metzner, S.
dc.contributor.author
Patoka, Piotr
dc.contributor.author
Cortes, S.
dc.contributor.author
Wübbeler, G.
dc.contributor.author
Hoehl, A.
dc.contributor.author
Rühl, Eckart
dc.contributor.author
Elster, C.
dc.date.accessioned
2024-01-16T13:39:37Z
dc.date.available
2024-01-16T13:39:37Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/42059
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-41784
dc.description.abstract
Infrared (IR) hyperspectral imaging is a powerful approach in the field of materials and life sciences. However, for the extension to modern sub-diffraction nanoimaging it still remains a highly inefficient technique, as it acquires data via inherent sequential schemes. Here, we introduce the mathematical technique of low-rank matrix reconstruction to the sub-diffraction scheme of atomic force microscopy-based infrared spectroscopy (AFM-IR), for efficient hyperspectral IR nanoimaging. To demonstrate its application potential, we chose the trypanosomatid unicellular parasites Leishmania species as a realistic target of biological importance. The mid-IR spectral fingerprint window covering the spectral range from 1300 to 1900 cm−1 was chosen and a distance between the data points of 220 nm was used for nanoimaging of single parasites. The method of k-means cluster analysis was used for extracting the chemically distinct spatial locations. Subsequently, we randomly selected only 10% of an originally gathered data cube of 134 (x) × 50 (y) × 148 (spectral) AFM-IR measurements and completed the full data set by low-rank matrix reconstruction. This approach shows agreement in the cluster regions between full and reconstructed data cubes. Furthermore, we show that the results of the low-rank reconstruction are superior compared to alternative interpolation techniques in terms of error-metrics, cluster quality, and spectral interpretation for various subsampling ratios. We conclude that by using low-rank matrix reconstruction the data acquisition time can be reduced from more than 14 h to 1–2 h. These findings can significantly boost the practical applicability of hyperspectral nanoimaging in both academic and industrial settings involving nano- and bio-materials.
en
dc.format.extent
8 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
hyperspectral nanoimaging
en
dc.subject
low-rank matrix reconstruction
en
dc.subject
Leishmania parasites
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::540 Chemie::541 Physikalische Chemie
dc.title
Compressed AFM-IR hyperspectral nanoimaging
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
015403
dcterms.bibliographicCitation.doi
10.1088/1361-6501/acfc27
dcterms.bibliographicCitation.journaltitle
Measurement Science and Technology
dcterms.bibliographicCitation.number
1
dcterms.bibliographicCitation.originalpublishername
IOP Publishing
dcterms.bibliographicCitation.volume
35
dcterms.bibliographicCitation.url
https://doi.org/10.1088/1361-6501/acfc27
refubium.affiliation
Biologie, Chemie, Pharmazie
refubium.affiliation.other
Institut für Chemie und Biochemie
refubium.note.author
Die Publikation wurde aus Open Access Publikationsgeldern der Freien Universität Berlin gefördert.
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1361-6501
refubium.resourceType.provider
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