Nondestructive, High-Resolution Materials Characterization with the Confocal Raman-AFM

Abstract

Materials research, biomedical research, and semiconductor manufacturing can all benefit from nondestructive, high-resolution methods of analysis. As most materials are heterogeneous, it is important to not only acquire high resolution topographic information, but also to identify the chemical composition of samples. A combination of high resolution microscopy with chemically sensitive spectroscopy combined in one instrument allows the detailed characterization of samples with different analytical techniques. When individual instruments are used, returning to a previously surveyed sample area can be very time consuming if not impossible without surface markers.

Simplified Large‐Area Manufacturing of Organic Electrochemical Transistors Combining Printing and a Self‐Aligning Laser Ablation Step

“…A similar effect is known for laser structuring of transparent inorganic materials on opaque flexible substrates 44. Without going into details of the possibly involved phase transitions, the delamination has analogies to the concept of a laser‐induced backward transfer (LIBT) recently put forward by Kusnetsov et al45 Indeed, preliminary results of a chemical mapping of the channel region of our OECTs with z‐scanning depth‐profile confocal Raman microscopy (band assignment according to literature46, 47) indicate that at least traces of carbon are present in the formed cavity, conjecturally at its “ceiling” (the downside of the elevated platelet of the dielectric top‐layer) (cf. Supporting Information).…”

Raman imaging of fluid inclusions in garnet from UHPM rocks (Kokchetav massif, Northern Kazakhstan)

“…Due to the high level of confocality, clear depth scan could also be obtained, by scanning X and Z or Y and Z (as opposed to the XY scan for regular 2D scans). Details of the experimental conditions can be found in Table 1 and elsewhere [19].…”

Discriminating cell line specific features of antibiotic‐resistant strains of Escherichia coli from Raman spectra via machine learning analysis

“…Vibrational spectroscopy can be used to enable label-free microscopy that provides detailed chemical information, and so is particularly fit for rapid and noninvasive characterization of living and nonliving material. As recent technological developments allow increasing spectral acquisition speed and sensitivity [1][2][3][4], a growing number of studies are investigating potential medical applications of Raman spectroscopy (RS), such as disease diagnosis and pathogen identification.…”