Label-free and non-invasive monitoring of porcine trophoblast derived cells: differentiation in serum and serum-free media

Li, Qifei; Suasnavas, Edison; Xiao, Lifu; Heywood, Sierra; Qi, Xiaojun; Zhou, Anhong; Isom, S. Clay

doi:10.1002/jbio.201400062

Cited by 8 publications

(5 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is known that micro‐Raman studies can help in understanding changes in the biochemical composition in response to a disease or therapy at the cellular level in a label‐free and nondestructive manner. In contrast to microscopic imaging, spectral imaging can provide both spatial and molecular information, which can help in understanding the distribution of different biochemical components .…”

Section: Resultsmentioning

confidence: 99%

Identification of morphological and biochemical changes in keratin‐8/18 knock‐down cells using Raman spectroscopy

Singh

Alam

Dmello

et al. 2017

Journal of Biophotonics

View full text Add to dashboard Cite

Accurate understanding of cellular processes and responses to stimuli is of paramount importance in biomedical research and diagnosis. Raman spectroscopy (RS), a label-free and nondestructive spectroscopic method has the potential to serve as a novel 'theranostics' tool. Both fiber-optic and micro-Raman studies have demonstrated efficacy in diagnostics and therapeutic response monitoring. In the present study, we have evaluated the potential of micro-Raman spectroscopic maps in identifying changes induced by loss of K8/18 proteins in a tongue cancer cell line. Furthermore, we also evaluated the efficacy of less expensive and commercially available fiber probes to identify K8/18 wild and knock-down cell pellets, in view of the utility of cell pellet-based studies. The findings suggest that major differences in the cellular morphology and biochemical composition can be objectively identified and can be utilized for classification using both micro-Raman and fiber-probe-based RS. These findings highlight the potential of fiber-optic probe-based RS in noninvasive cellular phenotyping for diagnosis and therapeutic response monitoring, especially in low-resource settings.

show abstract

Section: Resultsmentioning

confidence: 99%

Identification of morphological and biochemical changes in keratin‐8/18 knock‐down cells using Raman spectroscopy

Singh

Alam

Dmello

et al. 2017

Journal of Biophotonics

View full text Add to dashboard Cite

show abstract

“…[1][2][3] One promising and widespread application of Raman spectroscopy is the label-free classification of single eukaryotic and prokaryotic cells, akin to fluorescence microscopy. [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] Because prokaryotic cells are small, typically on order of the laser focus diameter, they can be assessed by a single Raman spectrum. Eukaryotic cells, on the other hand, are much larger than the laser focal spot.…”

Section: Introductionmentioning

confidence: 99%

Rapid acquisition of mean Raman spectra of eukaryotic cells for a robust single cell classification

Schie

Kiselev

Krafft

et al. 2016

Analyst

View full text Add to dashboard Cite

Raman spectroscopy has previously been used to identify eukaryotic and prokaryotic cells. While prokaryotic cells are small in size and can be assessed by a single Raman spectrum, the larger size of eukaryotic cells and their complex organization requires the acquisition of multiple Raman spectra to properly characterize them. A Raman spectrum from a diffraction-limited spot at an arbitrary location within a cell results in spectral variations that affect classification approaches. To probe whole cells with Raman imaging at high spatial resolution is time consuming, because a large number of Raman spectra need to be collected, resulting in low cell throughput and impairing statistical analysis due to low cell numbers. Here we propose a method to overcome the effects of cellular heterogeneity by acquiring integrated Raman spectra covering a large portion of a cell. The acquired spectrum represents the mean macromolecular composition of a cell with an exposure time that is comparable to acquisition of a single Raman spectrum. Data sets were collected from T lymphocyte Jurkat cells, and pancreatic cell lines Capan1 and MiaPaca2. Cell classification by support vector machines was compared for single spectra, spectra of images and integrated Raman spectra of cells. The integrated approach provides better and more stable prediction for individual cells, and in the current implementation, the mean macromolecular information of a cell can be acquired faster than with the acquisition of individual spectra from a comparable region. It is expected that this approach will have a major impact on the implementation of Raman based cell classification.

show abstract

“…Absence of lengthy sample preparation, such as staining or labeling, makes Raman spectroscopy a promising tool for rapid clinical diagnosis [7,23,26,29,44,52]. Not only biological tissues [27] and body fluids [18] can be examined by Raman spectroscopy, but even individual living cells [17,32,42]. This is a large research field with a host of promising applications, such as observation of cell metabolism, growth and aging, study of drug resistance or drug uptake [35], chemical mapping of cells [22,36], identification of cell in a mixed population, and many others.…”

Section: Introductionmentioning

confidence: 99%

Design and first applications of a flexible Raman micro-spectroscopic system for biological imaging

Kiselev

Schie

Aškrabić

et al. 2016

BSI

View full text Add to dashboard Cite

Abstract. Typical commercial Raman micro-spectroscopic systems do not offer much flexibility to the end user, thus limiting potential research applications. We present a design of a simple, highly flexible and portable confocal Raman microscope with a detailed list of parts. The system can perform spectral acquisition in different modes: single-point spectroscopy, hyperspectral point mapping or hyperspectral line mapping. Moreover, the microscope can be easily converted between inverted and upright configurations, which can be beneficial for specific situations. Fiber coupling enables to connect various lasers for excitation and spectrometer/CCD combinations for signal detection. The performance of the instrument is demonstrated via Raman spectroscopy at 785 nm excitation wavelength, single point mapping of pancreatic cancer cells placed onto a quartz substrate and line mapping of polystyrene beads.

show abstract

Label-free and non-invasive monitoring of porcine trophoblast derived cells: differentiation in serum and serum-free media

Cited by 8 publications

References 48 publications

Identification of morphological and biochemical changes in keratin‐8/18 knock‐down cells using Raman spectroscopy

Identification of morphological and biochemical changes in keratin‐8/18 knock‐down cells using Raman spectroscopy

Rapid acquisition of mean Raman spectra of eukaryotic cells for a robust single cell classification

Design and first applications of a flexible Raman micro-spectroscopic system for biological imaging

Contact Info

Product

Resources

About