Open Access
1 November 2006 Use of Fourier transform infrared microscopy for the evaluation of drug efficiency
Vitaly Erukhimovitch, Marina Talyshinsky, Yelena Souprun, Mahmoud Huleihel
Author Affiliations +
Abstract
Fourier transform infrared (FTIR) spectroscopy has been used by chemists as a powerful tool to characterize inorganic and organic compounds. In this study, we examine the potential of FTIR microspectroscopy for early evaluation of therapy efficiency. For this purpose, we examine the effect of acyclovir (a known antiherpetic drug) on the development of herpes simplex virus type 1 (HSV-1) infection in cell culture. Also, we examine spectral changes in lymphocytes obtained from leukemia patients after appropriate chemotherapy treatment. Our results show early and significant spectral indicators for successful infection of Vero cells with HSV-1. Treatment of these infected cells with increasing doses of acyclovir reduces clearly the spectral changes caused by the infection in a correlation with inhibiting the development of the cytopathic effect (CPE) induced by this virus. Also significant and consistent spectral differences between lymphocytes from human leukemia patients compared to that from healthy persons are obtained. Treatment of these leukemia patients with appropriate drugs reduces significantly these spectral differences in a correlation with the improvement of the patient's clinical situation. It seems that FTIR spectroscopy can be used as an effective tool for early evaluation of the efficiency of drugs.

1.

Introduction

In general, early diagnosis and appropriate treatment increase dramatically the chances of survival and full recovery from various serious diseases. 1, 2, 3, 4 For instance, despite the improvement in diagnostic techniques, the vast majority of cancers have either advanced or metastasized by the time they are diagnosed.5 Hence, there is a need to develop novel noninvasive diagnostic methods to detect the malignancy and probably other serious diseases in the earlier stages and start an appropriate and effective treatment. Death rates and costs associated with infectious diseases could be significantly reduced by employing rapid identification techniques and precise methods for evaluation of the efficiency of the therapy used.3, 6

Fourier transform infrared (FTIR) spectroscopy has been widely applied in biology and medicine. It has expanded our knowledge of the structure, conformation, and dynamics of various molecular components of the cell.7 With the introduction of microscopy in modern FTIR instrumentation, FTIR analysis of cells and tissues has become a reality. In recent years, there is bubbling interest to apply FTIR spectroscopy as a tool for the diagnosis of cancer. Successful diagnostic studies of different kinds of cancer cells and cells infected with viruses have been reported. 8, 9, 10, 11, 12 Besides the application of FTIR spectroscopy to cell and tissue diagnostics, its role in diagnostic aspects involving body fluids has been gaining importance in the last few years. Successful diagnosis of arthritis based on near-IR (NIR) analysis of synovial fluid obtained from patients has been reported.13 The mid-IR region has been shown to be useful in the identification of disease patterns using the FTIR spectrum of human sera.14 Precise quantification of serum components such as glucose, total protein, cholesterol, and urea have been achieved using mid-IR spectroscopy.15, 16 Also FTIR spectroscopy was used successfully for identification and finger printing of micro-organisms.3, 17, 18

In the present study, we examined the potential of FTIR microscopy methods for the evaluation of drug efficiency.

2.

Materials and Methods

2.1.

Cells, Viruses, and Treatment

African green monkey kidney (Vero) cells were purchased from the American Type Culture Collection (ATCC), Rockville, Maryland. Cells were grown in Dulbecco’s modified Eagle’s medium (DMEM) containing 10% fetal calf serum (FCS), 1% glutamine, 50-U/ml penicillin, and 50- μ g/ml streptomycin, and incubated at 37°C in humidified air containing 5% CO2 . Vero cells were used for the infection of herpes simplex virus type 1 (HSV-1). HSV-1 was obtained from ATCC (VR-735).

HSV-1 infected cells were treated with various concentrations (0.1, 1, and 10μM ) of the known antiherpetic drug acyclovir (ACV) immediately postinfection (PI). The treatment continued up to the end of the experiment.

Human lymphocytes were isolated from ten healthy persons and ten leukemia patients. Both healthy persons and leukemia patients were 10 to 30 years old. Standard chemotherapy treatment was given to the leukemia patients.19

2.2.

Cell Infection and Determination of Cytopathic Effect

Monolayers of Vero cells (seeded at 1.5×105 cells/well on 24-well culture plates) were incubated with HSV-1 at the appropriate multiplicity of infection (1MOI) in RPMI medium containing 2% FCS at 37°C for 2h . The unabsorbed virus particles were removed, fresh medium containing 2% FCS with or without various concentrations of the antiherpetic drug acyclovir (ACV) was added, and the cell monolayers were incubated at 37°C. At the required time, the CPE in cell culture was examined under an inverted microscope.

2.3.

Isolation of Lymphocytes

Lymphocytes were isolated as previously described.20 Briefly, 3ml of blood was loaded over 3ml of Histopaque (purchased from Sigma, St. Louis, Missouri) solution and centrifuged at 300g for 30min at 23°C. The Histopaque solution is the mixture of Metrizoic acid and Ficoll solution having density of 1.077gml . The lymphocyte layer (mononuclear cells), located at the middle of the tube, was isolated. The separated lymphocytes were washed twice with 10ml of saline by centrifugation at 300g for 10min at 23°C, and resuspended in 100μ L of saline solution. The cells were counted with a hematocytometer, and all tested samples were centrifuged again and resuspended in saline solution at a concentration of 1000cellsml .

2.4.

Preparation of Infected and Uninfected Vero Cells for Examination by Fourier Transform Infrared Microscopy

Infected and uninfected Vero cell monolayers were washed twice with saline and the cells were picked up from the tissue culture plates after treatment with trypsin (0.25%) for 1min . The cells were pelleted by centrifugation at 1000rpm for 5min . Each pellet was washed twice with saline and resuspended in 100μ l of saline. The number of cells was counted with a hematocytometer, and all tested samples were pelleted again and resuspended in an appropriate volume of saline to give a concentration of 1000cellsμ l.

2.5.

Preparation of Slides for Examination by Fourier Transform Infrared Microscopy

Since ordinary glass slides exhibit strong absorption in the wavelength range of interest to us, we used zinc selenide crystals, which are highly transparent to IR radiation. A drop of 1μ l of each sample (lymphocytes or Vero cell suspensions) was placed on the zinc selenide crystal, air dried for 4h , and examined by FTIR microscopy. The radius of such a 1- μ l drop was about 1mm .

2.6.

Fourier Transform Infrared Spectra

FTIR measurements were performed in transmission mode with a liquid nitrogen-cooled mercury cadmium telluride (MCT) detector of FTIR microscope (Bruker IRScope II) coupled to the FTIR spectrometer (Bruker Equinox model 55/S, Opus software) (Ettlingen, Germany). The spectra were obtained in the wavenumber range of 600 to 2000cm1 in the mid-IR region. A spectrum was taken as an average of 128 scans to increase the signal-to-noise ratio (SNR), and the spectral resolution was 4cm1 . The aperture used in this study was 100μm , since we found that this aperture gives the best SNR. At lower apertures, the quality of spectra was bad due to high levels of noise. The cells in the chosen apertures are homogeneous without impurities (such as salts, media components, etc.) and the number of cells in such apertures is about 100. Baseline correction and normalization were performed for all the spectra by Opus software. Baseline correction was done by rubberband method. For the construction of the baseline, the spectrum is divided up in n ranges of equal size. In each range, the minimum y value is determined. The baseline is created by connecting minima with straight lines. Starting from “below,” a rubberband is stretched over this curve. The rubber band is the baseline. The baseline points that do not lie on the rubberband are discarded. Normalization was done by vector method. The average y value of the spectrum is calculated first. This average value is then subtracted from the spectrum so that the middle of the spectrum is pulled down to y=0 . The sum of the squares of all y values is then calculated, and the spectrum is divided by the square root of this sum. The vector norm of the result spectrum is 1. Peak positions were determined using the second derivation method by Opus software. For each cell type, the spectrum was taken as the average of five different measurements at various sites of the sample.

Each experiment with each cell type was repeated five times and 25 measurements were obtained from each sample. It is important to mention that there are no considerable differences in spectra from various sites of the same sample; standard deviation (SD) did not exceed 0.005.

2.7.

Cluster Analysis

Among the various mathematical methods applied for classification in biology and medicine, cluster analysis is one of the simplest and most rapid procedures.21 In our study, this technique was used to classify certain regions of the FTIR spectra of the examined samples. Cluster analysis was performed by Opus software with a standard making-distance matrix and Ward’s algorithm dendrogram.

3.

Results

3.1.

Fourier Transform Infrared Spectra of Infected Cells with Herpes Simplex Virus Type 1

Vero cells were infected with HSV-1 and examined by FTIR microscopy at 24 and 48h postinfection (PI), and their spectral behavior was examined by FTIR microscopy. The results presented in Fig. 1a showed the FTIR spectra of both control and infected Vero cells at 24 and 48h PI. In general, the infected cells show higher intensities of absorbance at various regions of the scanned area. For both normal and HSV infected cells, the dominant bands at 1655 and 1546cm1 were attributed to protein amide 1 and 2 bands.1 The shoulder at about 1730cm1 was attributed to lipid CO stretching vibrations.1 The band at 1465cm1 was assigned to the CH2 bending mode of the cell lipids. The bands at 1454 and 1397cm1 were attributed to asymmetric and symmetric CH3 bending modes of end ethyl groups and branched methyl groups of proteins and lipids, respectively.22 The peaks at 1237 and 1082cm1 were attributed to asymmetric and symmetric stretching vibrations and phospholipids.1, 23 The peak at 1064cm1 resulted from the overlap of several bands, including absorption due to the vibrational modes of CH2OH and the C-O stretching vibration coupled to the C-O bending mode of cell carbohydrates.24 The peak at 857cm1 was attributed to N-type sugars.25

Fig. 1

(a) FTIR spectra in the region 600 to 2000cm1 of control Vero cells, with cells infected with HSV-1 at 24- and 48-h PI. (b) FTIR microspectroscopy in the region 1250 to 1350cm1 for the tested cells. Data are means of five different and separate experiments for each cell culture.

064009_1_009606jbo1.jpg

A considerable gradual absorption increase in the region 1250 to 1350cm1 at the various examined times PI was observed in all infected cell cultures [Fig. 1b]. Furthermore, the position of the peak at 857cm1 in noninfected control cells was gradually shifted to about 854cm1 in infected cells, in correlation with the development of the viral infection (Table 1 ). These parameters were used for follow up after the development of the viral infection in the next experiments of this study.

Table 1

Changes in peak position at 857cm−1 in HSV-1 infected Vero cells treated or untreated with various concentrations of ACV.

Peak position (cm−1)
Cells 24h PI 48h PI
Control Vero857.7 ± 0.2857.8 ± 0.2
Vero + HSV855.4 ± 0.25854.2 ± 0.2
Vero + HSV + 0.1μ M ACV856.4 ± 0.3855.3 ± 0.25
Vero + HSV + 1μ M ACV857.1 ± 0.27855.8 ± 0.2
Vero + HSV + 10μ M ACV857.3 ± 0.26856.2 ± 0.3
Vero cells were infected with 1MOI of HSV-1 and treated immediately PI with different concentrations of ACV and examined by FTIR microscopy at 24- and 48-h PI. The results are means ±SD , (n=5) .

3.2.

Treatment of Herpes Simplex Virus Type 1 Infected Vero Cells with Antiherpetic Drug Acyclovir

Vero cells were infected with HSV-1 and treated immediately PI with increasing concentrations of ACV. The FTIR spectra obtained at 48-h PI of these cells show spectral intensity values at regions 1250 to 1350cm1 lower than those of the infected nontreated cells but slightly higher than the control uninfected cells, according to the used concentrations of ACV (Fig. 2 ). At concentrations of 1 and 10μ M of ACV, the spectral results of the infected and treated cells demonstrated only a slight increase compared to the control uninfected cells, while at the lower used concentration of 0.1μ M, there is a further increase in the spectral intensity values at this region (Fig. 2). The results presented in Table 1 show only a moderate shift of peak at 857- cm1 position in infected and treated cells compared to the infected nontreated cells. This shift is also dependent on the concentration of the used ACV, while it is smaller in the higher drug concentrations.

Fig. 2

(a) FTIR spectra in the region 1250 to 1350cm1 of control Vero cells, with cells infected with HSV-1 at 48-h PI, cells infected with HSV-1 and treated with 0.1- μ M ACV at 24-h PI, and cells infected with HSV-1 and treated with 0.1- μ M ACV at 48-h PI. (b) Same as (a) but treated with 1- μ M ACV. (c) Same as (a) but treated with 10- μ M ACV. Data are means of five different and separate experiments for each cell culture.

064009_1_009606jbo2.jpg

In addition, the results presented in Fig. 2 show the possibility of follow up after the effect of the used drug as a function of time PI. It can be seen from these results that at 24-h PI, the spectra of the infected and treated cells with 1 and 10μ M of ACV in regions 1250 to 1350cm1 are fully similar to the control uninfected cells, while the infected untreated cells show significantly higher values of the spectra. At this point of time, it can be seen that in infected cells treated with 0.1μ M of ACV, the spectral values already start to increase. At 48h , there is only a slight increase in the spectral levels of cells infected and treated with either 1 or 10μ M of ACV, compared to the control uninfected cells, while in those treated with 0.1μ M, there is a notable increase in the spectra levels. Full and excellent classification of all infected and treated samples with 1μ M of ACV compared to the control infected and untreated samples was obtained in the region 1280 to 1350cm1 by cluster analysis (Fig. 3 ).

Fig. 3

Cluster analysis of the IR spectra of the examined control uninfected and HSV-1 infected treated or untreated cells with 1- μ M ACV in the frequency range 1280 to 1350cm1 . This cluster analysis was made on results obtained at 48-h PI. Five samples from each kind of cell, control uninfected (CONT), infected (HSV-1), and infected and treated with ACV (ACV) were examined.

064009_1_009606jbo3.jpg

These results are in agreement with the observed morphological changes [cytopathic effect (CPE) development] of the infected cells (Fig. 4 ), although spectral changes are detectable significantly earlier than morphological changes. The results in Fig. 4 show that the CPE is observed in the infected nontreated cells only 48-h PI, while the spectroscopic changes are measured earlier at 24h , as shown in Fig. 1. Also, in the case of infected and treated cells with the various concentrations of ACV, low levels of CPE were observed only at 72 to 90-h PI in cells treated with 1 or 10μ M of ACV and at 48 to 60h in those treated with 0.1μ M.

Fig. 4

Effect of ACV on the kinetics of CPE development after infection with HSV-1. Vero cells were infected with 1MOI of HSV-1 and treated with various concentrations of ACV immediately PI. CPE was evaluated by inverted microscope observations. Data are means ±SD (n=5) .

064009_1_009606jbo4.jpg

3.3.

Spectral Behavior of Leukemia Lymphocytes Before and After Chemotherapy Treatment

Lymphocytes were isolated from healthy persons and from leukemia patients before and after a course of chemotherapy treatment, and their spectral behavior was examined by FTIR microscopy. Our results show significant and remarkable differences between normal and leukemia lymphocytes (Fig. 5 ). Some of these differences are represented by a significant reduction in the intensity of the absorbance due to a PO2- asymmetric stretching band (in the region 1250 to 1350cm1 ) for leukemia lymphocytes compared to normal lymphocytes [Fig. 5b].

Fig. 5

(a) FTIR spectra in the region 600 to 2000cm1 of lymphocytes obtained from healthy persons, leukemia patients, and leukemia patients after 1 week of treatment with the appropriate drug. (b) FTIR spectra in the region 1250 to 1350cm1 of the same cells in (a). (c) FTIR spectra in the region 1050 to 1100cm1 of the same cells in (a). Data are means of ten different samples from either healthy persons or leukemia patients.

064009_1_009606jbo5.jpg

Also, our measurements show a considerable and detectable shift of the peak at 1082 to 1083cm1 (which represent the PO2- symmetric stretching band) for the normal lymphocytes 1086 to 1087cm1 in leukemia lymphocytes [Fig. 5c].

Our results show that lymphocytes from leukemia patients became very similar to normal lymphocytes in their IR spectra at the end of treatment, as can be seen in Fig. 5. The results presented in Figs. 5b and 5c show that both the position of the PO2- symmetric stretching band and the intensity of PO2- asymmetric stretching in the treated leukemia lymphocytes goes in the direction of their values in normal lymphocytes.

4.

Discussion

For the past few years, the application of FTIR spectroscopy in the biomedical field, particularly in the detection and identification of cancer cells and micro-organisms, has become increasingly interesting.1, 3 The introduction of microscopy to the traditional FTIR instrument makes it possible to focus on a specific small region of the slide and to use only very small aliquots of samples.

The main objective of the present study is to examine the potential of FTIR microscopy as a rapid and reliable method for evaluation of the efficacy of the used therapy. For this purpose, we used Vero cells that were infected in vitro with HSV-1 (with or without treatment with the known antiherpetic drug ACV) and lymphocytes isolated from leukemia patients before and after appropriate chemotherapy treatment.

The results presented in this study proved the potential of FTIR microscopy for rapid and reliable detection of both infected cells with HSV-1 and leukemia lymphocytes, and for early evaluation of the efficiency of the used therapy. This study is considered one of the first studies introducing an easy and rapid technique for the evaluation of the efficacy of the used therapy, which can be critical for life saving.

It is seen that different spectral peaks over the FTIR spectra of the examined samples can be used as excellent biomarkers for the identification of these samples and as indication for the efficiency of the used drugs. For instance, the spectral absorbance values in the phosphate region (1250 to 1350cm1 ) significantly increase in cells infected with HSV-1, while they significantly decrease in leukemia lymphocytes [Figs. 1b and 4b]. The peak at the 857-cm1 position in control Vero cells was shifted to the 854-cm1 position in HSV-1 infected cells. These changes were significantly reduced according to the used concentration of the drug, while they are smaller in the higher drug concentrations (Table 1 and Figs. 2 and 5). These results are in agreement with our work and other previous studies.1, 12

Another important biomarker for the detection of leukemia lymphocytes is a significant and detectable shift of the peak at 1082 to 1083cm1 (which represent the PO2- symmetric stretching band) for the normal lymphocytes to 1086 to 1087cm1 in leukemia lymphocytes, as can be seen from Fig. 2 and from other previous studies.24 The shift in this peak may indicate that the environment near the PO2- group has undergone a series of alterations during malignancy, or that there were changes in the concentrations of some metabolites such as carbohydrates, which could be related to tumor development and/or to the high rate of replication of these cells, i.e., the high rate of DNA synthesis in the malignant cells.26 This shift disappeared completely in lymphocytes obtained from leukemia patients at the end of their chemotherapy treatment course [Fig. 5c].

These biomarkers could be used successfully for follow up after efficacy of the used drug, and might be useful for evaluation and determination of the required doses of the used drug. In HSV infected cells and those treated with ACV, there is a good correlation between drug dose and the reduction in the intensity of the spectral changes caused by the HSV-1 infection. It can be seen from Fig. 2 and Table 1 that the obtained spectra of HSV infected cells that were treated with either of the higher doses 1 or 10μ g/ml of ACV were very similar to that of the uninfected control cells, whereas the lower dose ( 0.1μ g/ml) of ACV shows significant difference compared to the uninfected control cells, as can be seen in Fig. 2. These results mean that ACV at high doses (1 and 10μ g/ml) is highly effective in blocking the viral infection, while at the low dose ( 0.1μ g/ml) it is not fully effective. These results, which are in agreement with the morphological changes, might indicate the possible use of FTIR spectroscopy for early and rapid determination of the effective required doses of drugs. In addition, the spectral changes of the infected cells were detectable as early as 24-h PI, while the observed morphological changes were obtained only at 2 to 3 days PI (Figs. 2 and 4).

The present study strongly supports the possibility of developing FTIR microscopy for the detection and identification of diseases, and as an indication of efficiency of treatment.

References

1. 

R. K. Dukor, Handbook of Vibrational Spectroscopy, 3335 –3360 John Wiley and Sons, New York (2001). Google Scholar

2. 

L. A. G. Ries, C. L. Kosary, B. F. Hankey, B. A. Miller, L. Clegg, and B. K. Edwards, 197 –205 (1999) Google Scholar

3. 

K. Maquelin, C. Kirschner, L. P. Choo-Smith, “Prospective study of the performance of vibrational spectroscopies for rapid identification of bacterial and fungal pathogens recovered from blood cultures,” J. Clin. Microbiol., 41 324 –429 (2003). 0095-1137 Google Scholar

4. 

J. M. Miller and C. M. O’Hara, Manual of Clinical Microbiology, 193 –201 ASM Press, Washington, DC (1999). Google Scholar

5. 

T. Burmeister, “Oncogenic retroviruses in animals and humans,” Rev. Med. Virol., 11 369 –380 (2001). Google Scholar

6. 

M. Essendoubi, D. Toubas, M. Bouzaggou, J. M. Pinon, and M. Manfait, “Rapid identification of candida species by FTIR microscopy,” Biochim. Biophys. Acta, 1724 239 –247 (2005). 0006-3002 Google Scholar

7. 

H. Mantsch and D. Chapman, Infrared Spectroscopy of Biomolecules, 6 –9 John Wiley, New York (1996). Google Scholar

8. 

H. P. Wang, H. C. Wang, and Y. J. Huang, “Microscopic FTIR studies of lung cancer cells in pleural fluid,” Sci. Total Environ., 204 283 –287 (1997). 0048-9697 Google Scholar

9. 

T. Gao, J. Feng, and Y. Ci, “Human breast carcinomal tissues display distinctive FTIR spectra: implication for the histological characterization of carcinomas,” Anal Cell Pathol., 18 87 –93 (1999). 0921-8912 Google Scholar

10. 

B. Rigas, K. LaGuardia, L. Qiao, B. S. Bhandare, T. Caputo, and M. A. Cohenford, “Infrared spectroscopic study of cervical smears in patients with HIV: implications for cervical carcinogenesis,” J. Lab. Clin. Med., 35 26 –31 (2000). 0022-2143 Google Scholar

11. 

V. Erukhimovitch, M. Talyshinsky, Y. Souprun, and M. Huleihel, “Spectroscopic characterization of human and mouse primary cells, cell lines and malignant cells,” Photochem. Photobiol., 76 446 –451 (2002). https://doi.org/10.1562/0031-8655(2002)076<0446:SCOHAM>2.0.CO;2 0031-8655 Google Scholar

12. 

M. Huleihel, M. Talyshinsky, Y. Souprun, and V. Erukhimovitch, “Spectroscopic evaluation of cells infected with herpes viruses and treated with red microalgal polysaccharides,” Appl. Spectrosc., 57 390 –395 (2003). https://doi.org/10.1366/00037020360625916 0003-7028 Google Scholar

13. 

R. A. Shaw, S. Kotowich, H. H. Eysel, M. Jackson, G. H. Thomson, and H. H. Mantsch, “Arthritis diagnosis based upon the near-infrared spectrum of synovial fluid,” Rheumatol. Int., 15 159 –165 (1995). 0172-8172 Google Scholar

14. 

A. Staib, B. Dolenko, D. L. Fink, J. Fruh, A. E. Nikulin, M. Otto, M. S. Pessin-Minsley, O. Quarder, R. Somorjai, U. Thienel, and G. Werner, “Disease pattern recognition testing for rheumatoid arthritis using infrared spectra of human serum,” Clin. Chim. Acta, 308 79 –89 (2001). 0009-8981 Google Scholar

15. 

R. A. Shaw, S. Kotowich, M. Leroux, and H. H. Mantsch, “Multianalyte serum analysis using mid-infrared spectroscopy,” Ann. Clin. Biochem., 35 624 –632 (1998). 0004-5632 Google Scholar

16. 

C. Petibois, G. Cazorla, H. Gin, and G. Deleris, “Differentiation of populations with different physiologic profiles by plasma Fourier-transform infrared spectra classification,” J. Lab. Clin. Med., 137 184 –190 (2001). 0022-2143 Google Scholar

17. 

V. Erukhimovitch, V. Pavlov, M. Talyshinsky, Y. Souprun, and M. Huleihel, “FTIR microscopy as a method for identification of bacterial and fungal infections,” J. Pharm. Biomed. Anal, 37 1105 –1108 (2005). 0731-7085 Google Scholar

18. 

D. Naumann, D. Helm, and H. Labischinski, “Microbiological characterizations by FT-IR spectroscopy,” Nature (London), 351 81 –82 (1991). https://doi.org/10.1038/351081a0 0028-0836 Google Scholar

19. 

R. Sahu, U. Zelig, M. Huleihel, N. Brosh, M. Talyshinsky, M. Ben-Harosh, S. Mordechai, and J. Kapelushnik, “Continuous monitoring of WBC (biochemistry) in an adult leukemia patient using advanced FTIR-microspectroscopy,” Leuk. Res., 30 687 –693 (2006). 0145-2126 Google Scholar

20. 

J. Ramesh, M. Huleihel, J. Mordechai, A. Moser, V. Erukhimovitch, C. Levi, J. Kapelushnik, and S. Mordechai, “Preliminary results of evaluation of progress in chemotherapy treatment for childhood leukemia patients employing FTIR microspectroscopy and cluster analysis,” J. Lab. Clin. Med., 141 385 –394 (2003). https://doi.org/10.1016/S0022-2143(03)00025-8 0022-2143 Google Scholar

21. 

C. Kristensen, N. Ashkenasy, R. Jain, and A. Koretsky, “Creatine and cyclocreatine treatment of human colon adenocarcinoma xenografts: P31 and H1 magnetic resonance spectroscopic studies,” Br. J. Cancer, 79 278 –285 (1999). 0007-0920 Google Scholar

22. 

P. Wong, S. Goldstein, R. Grekin, A. Godwin, C. Pivik, and B. Rigas, “Distinct infrared spectroscopic patterns of human basal cell carcinoma of the skin,” Cancer Res., 53 762 –765 (1993). 0008-5472 Google Scholar

23. 

R. R. Dukor, M. N. Liebman, and B. L. Johnson, “A new non-destructive method for analysis of clinical samples with FT-IR microspectroscopy. Breast cancer tissue as an example,” Cell Mol. Biol. (Paris), 44 211 –217 (1998). 0145-5680 Google Scholar

24. 

D. Yang, D. Castro, I. El-Sayed, M. El-Sayed, R. Saxton, and N. Y. Zhang, “A Fourier-transform infrared spectroscopic comparison of cultured human fibroblast and fibrosarcoma cells: a new method for detection of malignancies,” J. Clin. Laser Med. Surg., 13 55 –59 (1995). 1044-5471 Google Scholar

25. 

A. E. Taillandier and J. Liguier, Handbook of Vibrational Spectroscopy, 3465 –3480 John Wiley and Sons, New York (2001). Google Scholar

26. 

H. Susi, Structure and Stability of Biological Macromolecules, 641 –652 Marcel Dekker, New York (1969). Google Scholar
©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)
Vitaly Erukhimovitch, Marina Talyshinsky, Yelena Souprun, and Mahmoud Huleihel "Use of Fourier transform infrared microscopy for the evaluation of drug efficiency," Journal of Biomedical Optics 11(6), 064009 (1 November 2006). https://doi.org/10.1117/1.2397554
Published: 1 November 2006
Lens.org Logo
CITATIONS
Cited by 16 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
FT-IR spectroscopy

Leukemia

Microscopy

Spectroscopy

Diagnostics

Cancer

Imaging spectroscopy

Back to Top