Microspectroscopic characterisation of gold nanorods for cancer detection

Hartsuiker, Liesbeth

doi:10.3990/1.9789036532402

Cited by 3 publications

(7 citation statements)

References 213 publications

(510 reference statements)

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“…The scattered photons were collected by the same objective lens (40×/0.95NA UPLSAPO, Olympus Corp., Tokyo, Japan), focused on a 15 μm pinhole at the entrance of custom-made spectrograph dispersing in the range of 646–849 nm. 30 The pinhole allows us to achieve confocal configuration with lateral laser spot size of about 350 nm and axial resolution of about 1.5 μm. The spectral data were dispersed by a prism based custom built spectrograph and recorded by an EMCCD camera which was cooled down to −70 °C (Newton DU-970N-BV, Andor Technology Ltd., Belfast, Northern Ireland).…”

Section: Experimental Sectionmentioning

confidence: 99%

Section: Experimental Sectionmentioning

confidence: 99%

“…The spectral data were dispersed by a prism based custom built spectrograph and recorded by an EMCCD camera which was cooled down to −70 °C (Newton DU-970N-BV, Andor Technology Ltd., Belfast, Northern Ireland). 30 EVs are very small and float in suspension. Optical trapping allows the capturing of vesicles at the waist of the highly focused beam.…”

Section: ■ Experimental Sectionmentioning

confidence: 99%

“…The excitation beam was focused onto the prepared sample. The scattered photons were collected by the same objective lens (40×/0.95NA UPLSAPO, Olympus Corp., Tokyo, Japan), focused on a 15 μm pinhole at the entrance of custom-made spectrograph dispersing in the range of 646–849 nm . The pinhole allows us to achieve confocal configuration with lateral laser spot size of about 350 nm and axial resolution of about 1.5 μm.…”

Section: Experimental Sectionmentioning

confidence: 99%

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Label-Free Prostate Cancer Detection by Characterization of Extracellular Vesicles Using Raman Spectroscopy

et al. 2018

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Mammalian cells release extracellular vesicles (EVs) into their microenvironment that travel the entire body along the stream of bodily fluids. EVs contain a wide range of biomolecules. The transported cargo varies depending on the EV origin. Knowledge of the origin and chemical composition of EVs can potentially be used as a biomarker to detect, stage, and monitor diseases. In this paper, we demonstrate the potential of EVs as a prostate cancer biomarker. A Raman optical tweezer was employed to obtain Raman signatures from four types of EV samples, which were red blood cell- and platelet-derived EVs of healthy donors and the prostate cancer cell lines- (PC3 and LNCaP) derived EVs. EVs’ Raman spectra could be clearly separated/classified into distinct groups using principal component analysis (PCA) which permits the discrimination of the investigated EV subtypes. These findings may provide new methodology to detect and monitor early stage cancer.

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Section: Experimental Sectionmentioning

confidence: 99%

Section: Experimental Sectionmentioning

confidence: 99%

Section: ■ Experimental Sectionmentioning

confidence: 99%

Section: Experimental Sectionmentioning

confidence: 99%

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Label-Free Prostate Cancer Detection by Characterization of Extracellular Vesicles Using Raman Spectroscopy

et al. 2018

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“…Cosmic rays, identified as nonspecific high intensity spikes in the acquired signal with an average width of 1 to 4 pixels and intensity much higher than the detected Raman signal, were removed from the signal using an estimation of the first derivative of the signal and setting a threshold accordingly. 21 The well-known band-positions were used to relate wavenumbers to pixels. The frequency-dependent optical detection efficiency of the setup was corrected using a tungsten halogen light source (Avalight-HAL; Avantes BV) with a known emission spectrum.…”

Section: Raman Data Analysismentioning

confidence: 99%

Recognizing different tissues in human fetal femur cartilage by label-free Raman microspectroscopy

et al. 2012

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Abstract. Traditionally, the composition of bone and cartilage is determined by standard histological methods. We used Raman microscopy, which provides a molecular "fingerprint" of the investigated sample, to detect differences between the zones in human fetal femur cartilage without the need for additional staining or labeling. Raman area scans were made from the (pre)articular cartilage, resting, proliferative, and hypertrophic zones of growth plate and endochondral bone within human fetal femora. Multivariate data analysis was performed on Raman spectral datasets to construct cluster images with corresponding cluster averages. Cluster analysis resulted in detection of individual chondrocyte spectra that could be separated from cartilage extracellular matrix (ECM) spectra and was verified by comparing cluster images with intensity-based Raman images for the deoxyribonucleic acid/ ribonucleic acid (DNA/RNA) band. Specific dendrograms were created using Ward's clustering method, and principal component analysis (PCA) was performed with the separated and averaged Raman spectra of cells and ECM of all measured zones. Overall (dis)similarities between measured zones were effectively visualized on the dendrograms and main spectral differences were revealed by PCA allowing for label-free detection of individual cartilaginous zones and for label-free evaluation of proper cartilaginous matrix formation for future tissue engineering and clinical purposes.

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Contributed Review: Review of integrated correlative light and electron microscopy

Timmermans

Otto

2015

Review of Scientific Instruments

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New developments in the field of microscopy enable to acquire increasing amounts of information from large sample areas and at an increased resolution. Depending on the nature of the technique, the information may reveal morphological, structural, chemical, and still other sample characteristics. In research fields, such as cell biology and materials science, there is an increasing demand to correlate these individual levels of information and in this way to obtain a better understanding of sample preparation and specific sample properties. To address this need, integrated systems were developed that combine nanometer resolution electron microscopes with optical microscopes, which produce chemically or label specific information through spectroscopy. The complementary information from electron microscopy and light microscopy presents an opportunity to investigate a broad range of sample properties in a correlated fashion. An important part of correlating the differences in information lies in bridging the different resolution and image contrast features. The trend to analyse samples using multiple correlated microscopes has resulted in a new research field. Current research is focused, for instance, on (a) the investigation of samples with nanometer scale distribution of inorganic and organic materials, (b) live cell analysis combined with electron microscopy, and (c) in situ spectroscopic and electron microscopy analysis of catalytic materials, but more areas will benefit from integrated correlative microscopy.

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Microspectroscopic characterisation of gold nanorods for cancer detection

Cited by 3 publications

References 213 publications

Label-Free Prostate Cancer Detection by Characterization of Extracellular Vesicles Using Raman Spectroscopy

Label-Free Prostate Cancer Detection by Characterization of Extracellular Vesicles Using Raman Spectroscopy

Recognizing different tissues in human fetal femur cartilage by label-free Raman microspectroscopy

Contributed Review: Review of integrated correlative light and electron microscopy

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