Jianghua Li

South China Normal University, Guangzhou, Guangdong Sheng, China

Are you Jianghua Li?

Claim your profile

Publications (4)11.45 Total impact

  • Article: Quantitative measurement of optical attenuation coefficients of cell lines CNE1, CNE2, and NP69 using optical coherence tomography.
    [show abstract] [hide abstract]
    ABSTRACT: The radiotherapy-related types of nasopharyngeal carcinoma (NPC) have been established, which give the most effective treatment for NPC patients using the individual therapy. To diagnose the types of NPC, we assess the general NPC cell lines CNE1, CNE2 and normal nasopharyngeal cell line NP69 using optical coherence tomography (OCT) in two steps: firstly, the OCT images of the three different types of cell pellets are captured. Secondly, by fitting Beer's law to the averaged A-scans in these OCT datasets, the attenuation coefficients (μ ( t )) of the cells can be extracted. The median attenuation coefficients (interquartile range) of CNE1, CNE2, and NP69 are 5.58 mm(-1) (IQR 5.55 to 5.65 mm(-1)), 5.91 mm(-1) (IQR 5.82 to 5.88 mm(-1)), and 8.96 mm(-1) (IQR 8.80 to 9.47 mm(-1)), respectively. The distinguishable quantitative OCT analysis (by μ ( t )) shows that the types of NPC could potentially be differentiated in real time and noninvasive.
    Lasers in Medical Science 05/2012; · 2.00 Impact Factor
  • Article: Quantitative measurement of optical parameters of cell lines 5-8F and 6-10B using polarization sensitive optical coherence tomography.
    [show abstract] [hide abstract]
    ABSTRACT: The aim was to test whether the typical NPC cell lines of 5-8F (high tumorigenesis and metastasis) and 6-10B (low tumorigenesis and metastasis) could be differentiated by polarization sensitive optical coherence tomography (PS-OCT). We imaged the two types of low cellular differentiated NPC cell lines 5-8F and 6-10B pellets using PS-OCT; then extracted the optical parameters of attenuate coefficient and anisotropy from the A-scan lines based on the multiple scattering model; and compared their phase retardation. The fitting scattering coefficients were μs=10.91±0.45 and μs=11.33±0.27 cm(-1) for 5-8F and 6-10B pellets (p<0.05), respectively; and the anisotropy factors were g=0.900±0.013 and g=0.885±0.008 for 5-8F and 6-10B pellets (p<0.01), respectively. While the phase retardation of 6-10B was a little faster than 5-8F. These results indicated that PS-OCT could differentiate the two cell lines, and had the potential ability for typing the tissue of NPC.
    Archives of Biochemistry and Biophysics 04/2012; 522(2):125-9. · 2.93 Impact Factor
  • Article: Quantitative discrimination of NPC cell lines using optical coherence tomography.
    [show abstract] [hide abstract]
    ABSTRACT: We tried to explore the intrinsic differences in the optical properties of the four representative NPC cell lines on the models of radiobiology and metastasis by OCT. The scattering coefficients and anisotropies were extracted by fitting the average a-scan attenuation curves based on the multiple scatter effect. The values of scattering coefficients and anisotropy factors were 5.21 ± 0.11, 5.30 ± 0.09, 5.92 ± 0.21, 6.97 ± 0.22, and 0.892 ± 0.009, 0.886 ± 0.006, 0.884 ± 0.009, 0.86 ± 0.01 for CNE1, CNE2, 5-8F and 6-10B pellets (p < 0.05, P = 0.07 for CNE1 and CNE2), respectively. The results showed that the radiobiology and metastasis cell's model could be distinguished obviously; which implied that the corresponding types of NPC tissue might be potentially differentiated by OCT.
    Journal of Biophotonics 02/2012; 5(7):544-9. · 4.34 Impact Factor
  • Article: Extraction of physical parameters from photoacoustic spectroscopy using wavelet transform
    [show abstract] [hide abstract]
    ABSTRACT: Photoacoustic (PA) signals carry much information related to the physical parameters of a sample, such as its optical, thermal, acoustic, and elastic properties. These physical parameters synchronously make their own contributions to PA signals. It is difficult to distinguish the contributions of different physical parameters to the mixed PA signals. To separate these parameters and to extract the featured information, we report herein a means of dissecting the transient PA signal using time-frequency analysis in a forward detection model. The simulated and experimental results indicate that the features of different physical parameters related to the sample can be qualitatively extracted from the mixed PA signals.
    Journal of Applied Physics 04/2011; · 2.17 Impact Factor

Institutions

  • 2011–2012
    • South China Normal University
      • School for Information and Optoelectronic Science and Engineering
      Guangzhou, Guangdong Sheng, China