Infrared spectroscopy of human tissue. V. Infrared spectroscopic studies of myeloid leukemia (ML-1) cells at different phases of the cell cycle

Boydston‐White, Susie; Gopen, Tamara; Houser, Sandra; Bargonetti, Jill; Diem, Max

doi:10.1002/(sici)1520-6343(1999)5:4<219::aid-bspy2>3.0.co;2-o

Cited by 153 publications

(49 citation statements)

References 15 publications

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“…As discussed before, this can be caused either by a real decrease in nucleic acid content or by an increase of the compaction state of DNA possibly related to the cell cycle stage. Concerning the latter hypothesis, Boydston-White et al reported that among nucleic acid absorption bonds, RNA contribution can be prominent when cells are in G1 and G2 phases, because highly compacted DNA is opaque to infrared light [19]. In fact, less condensed chromatin in K562 MDR cells in G1 phase (compared to their sensitive counterpart in G1 cell phase) has been previously reported [20], suggesting that our experimental results can not be explained by chromatin condensation.…”

Section: Discussionmentioning

confidence: 45%

Infrared spectroscopy as a tool for discrimination between sensitive and multiresistant K562 cells

Gaigneaux¹,

Ruysschaert²,

Goormaghtigh³

2002

European Journal of Biochemistry

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Fourier transform infrared spectroscopy was performed on human leukemic daunorubicin-sensitive K562 cells and their multiresistant counterpart derived by selection. Statistical analysis, including variable reduction and linear discriminant analysis was performed on sensitive and multiresistant cells spectra in order to establish a diagnostic tool for multiresistant pattern. For each of the two methods of data reduction tested [genetic algorithm or principal component analysis (PCA)] discrimination between the two cell lines was found to be possible. The best results, obtained with PCA-reduction, showed an accuracy of 93% on a distinct test set of spectra. These results demonstrate the efficiency of Fourier transform infrared spectroscopy for classification. Further analysis of the spectral differences indicated that discrimination between resistant and sensitive cells was based on variations in all cellular contents. Lipid and nucleic acid decreased, relatively, while the protein content increased.

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Section: Discussionmentioning

confidence: 45%

Infrared spectroscopy as a tool for discrimination between sensitive and multiresistant K562 cells

Gaigneaux¹,

Ruysschaert²,

Goormaghtigh³

2002

European Journal of Biochemistry

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“…After with increasing iteration number, the absorption in the C─H stretching region is growing and the absorption in the amide I region is decreasing, thus features of the measured spectrum are adopted. 6) and (14) in iteration step k, we set these parts to zero. By applying the fast Hilbert transform, we calculate scaled the real part n kk,s e ν ð Þ of the refractive index from the scaled imaginary part of the refractive index according to Eq.…”

Section: Stop Criterion For the Iterative Algorithmmentioning

confidence: 99%

“…Scattering and absorption phenomena are difficult to separate, because the real part of the refractive index determining the scattering properties and the imaginary part determining the absorption properties of cells and tissues are dependent on each other by the Kramers-Kronig relation. During recent years, several algorithms have been developed and published, that address the separation of scattering and absorption phenomena in apparent absorbance spectra of single cells [5][6][7][8][9][10][11][12][13][14]. Recently, we published an algorithm that was termed "the fast resonant Mie scatter correction algorithm" [15].…”

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confidence: 99%

An improved algorithm for fast resonant Mie scatter correction of infrared spectra of cells and tissues

Konevskikh

Lukács

Köhler

2017

Journal of Biophotonics

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Mie scattering effects create serious problems for the interpretation of Fourier-transform infrared spectroscopy spectra of single cells and tissues. During recent years, different techniques were proposed to retrieve pure absorbance spectra from spectra with Mie distortions. Recently, we published an iterative algorithm for correcting Mie scattering in spectra of single cells and tissues, which we called "the fast resonant Mie scatter correction algorithm." The algorithm is based on extended multiplicative signal correction (EMSC) and employs a meta-model for a parameter range of refractive index and size parameters. In the present study, we suggest several improvements of the algorithm. We demonstrate that the improved algorithm reestablishes chemical features of the measured spectra, and show that it tends away from the reference spectrum employed in the EMSC. We suggest strategies for choosing parameter ranges and other model parameters such as the number of principal components of the meta-model and the number of iterations. We demonstrate that the suggested algorithm optimizes an error function of the refractive index in a forward Mie model. We suggest a stop criterion for the iterative algorithm based on the error function of the forward model.

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“…In addition to these applications in process control, analyses of cells can also be performed with this measurement method. [59,60]. An overview of some possible applications of NIR spectroscopy is shown in Table 5.…”

Section: Applications In Mammalian Cell Culture Processesmentioning

confidence: 99%

Spectroscopic methods and their applicability for high‐throughput characterization of mammalian cell cultures in automated cell culture systems

Musmann

Joeris

Markert

et al. 2016

Engineering in Life Sciences

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The number and use of automated cell culture systems for mammalian cell culture are steadily increasing. Automated cell culture systems require miniaturized analytics with a high throughput to obtain as much information as possible from single experiments. Standard analytics commonly used for conventional bioreactor samples cannot handle the high throughput and the low sample volumes. Spectroscopic methods provide a means of meeting this analytical requirement and afford fast and direct access to process information. In the first part of this review, UV/VIS, fluorescence, Raman, near-infrared, and mid-infrared spectroscopy are presented. In the second part of the review, these spectroscopic methods are evaluated in terms of their applicability in the new field of mammalian cell culture processes in automated cell culture systems. Unlike standard bioreactors, these automated systems have special requirements that apply to the use of spectroscopic methods. Therefore, they are compared with regard to cell culture automation, throughput, and required sample volume.

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Infrared spectroscopy of human tissue. V. Infrared spectroscopic studies of myeloid leukemia (ML-1) cells at different phases of the cell cycle

Cited by 153 publications

References 15 publications

Infrared spectroscopy as a tool for discrimination between sensitive and multiresistant K562 cells

Infrared spectroscopy as a tool for discrimination between sensitive and multiresistant K562 cells

An improved algorithm for fast resonant Mie scatter correction of infrared spectra of cells and tissues

Spectroscopic methods and their applicability for high‐throughput characterization of mammalian cell cultures in automated cell culture systems

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