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  • Ge, Meilan  (8)
  • 1
    Online Resource
    Online Resource
    Optimization for continuous‐wave terahertz reflection imaging for biological tissues
    Wiley ; 2022
    In:  Journal of Biophotonics Vol. 15, No. 1 ( 2022-01)
    Details
    In: Journal of Biophotonics, Wiley, Vol. 15, No. 1 ( 2022-01)
    Abstract: Continuous‐wave terahertz reflection imaging is a potential tool for biological tissues. Based on our home‐made continuous‐wave terahertz reflection imaging system, the effect of both polarization mode and reflection window on the imaging performance is studied theoretically and experimentally, showing good agreement. By taking obtaining sample information and image contrast into consideration, p ‐polarized terahertz waves are recommended. Moreover, considering the sample boundary identification and the image contrast, selection criteria for reflection window are proposed. This work will help to improve the performance of continuous‐wave terahertz reflection imaging and accelerate the THz imaging in biological application.
    Type of Medium: Online Resource
    ISSN: 1864-063X , 1864-0648
    URL: Issue
    URL: Article
    DOI: 10.1002/jbio.v15.1
    DOI: 10.1002/jbio.202100245
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2403788-6
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  • 2
    Online Resource
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    Front cover
    Wiley ; 2022
    In:  Journal of Biophotonics Vol. 15, No. 1 ( 2022-01)
    Details
    In: Journal of Biophotonics, Wiley, Vol. 15, No. 1 ( 2022-01)
    Abstract: Continuous‐wave terahertz reflection imaging is a potential tool for biological tissues. Based on our home‐made continuouswave terahertz reflection imaging system, the effect of both polarization mode and reflection window on the imaging performance is studied theoretically and experimentally, showing good agreement. By taking obtaining sample information and image contrast into consideration, p‐polarized terahertz waves are recommended. Moreover, considering the sample boundary identification and the image contrast, selection criteria for reflection window are proposed. This work will help to improve the performance of continuous‐wave terahertz reflection imaging and accelerate the THz imaging in biological application. Further details can be found in the article by Limin Wu, Yuye Wang, Haibin Li, Zelong Wang, Meilan Ge, Degang Xu, and Jianquan Yao ( e202100245 ). image
    Type of Medium: Online Resource
    ISSN: 1864-063X , 1864-0648
    URL: Issue
    URL: Article
    DOI: 10.1002/jbio.v15.1
    DOI: 10.1002/jbio.202270001
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2403788-6
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  • 3
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    Online Resource
    Serum-based Raman spectroscopic diagnosis of blast-induced brain injury in a rat model
    Optica Publishing Group ; 2023
    In:  Biomedical Optics Express Vol. 14, No. 7 ( 2023-07-01), p. 3622-
    Details
    In: Biomedical Optics Express, Optica Publishing Group, Vol. 14, No. 7 ( 2023-07-01), p. 3622-
    Abstract: The diagnosis of blast-induced traumatic brain injury (bTBI) is of paramount importance for early care and clinical therapy. Therefore, the rapid diagnosis of bTBI is vital to the treatment and prognosis in clinic. In this paper, we reported a new strategy for label-free bTBI diagnosis through serum-based Raman spectroscopy. The Raman spectral characteristics of serum in rat were investigated at 3 h, 24 h, 48 h and 72 h after mild and moderate bTBIs. It has been demonstrated that both the position and intensity of Raman characteristic peaks exhibited apparent differences in the range of 800-3000cm −1 compared with control group. It could be inferred that the content, structure and interaction of biomolecules in the serum were changed after blast exposure, which might help to understand the neurological syndromes caused by bTBI. Furthermore, the control group, mild and moderate bTBIs at different times (a total of 9 groups) were automatically classified by combining principal component analysis and four machine learning algorithms (quadratic discriminant analysis, support vector machine, k -nearest neighbor, neural network). The highest classification accuracy, sensitivity and precision were up to 95.4%, 95.9% and 95.7%. It is suggested that this method has great potential for high-sensitive, rapid, and label-free diagnosis of bTBI.
    Type of Medium: Online Resource
    ISSN: 2156-7085 , 2156-7085
    URL: Article
    DOI: 10.1364/BOE.495285
    Language: English
    Publisher: Optica Publishing Group
    Publication Date: 2023
    detail.hit.zdb_id: 2572216-5
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  • 4
    Online Resource
    Online Resource
    Temperature dependent terahertz spectroscopy and imaging of orthotopic brain gliomas in mouse models
    Optica Publishing Group ; 2022
    In:  Biomedical Optics Express Vol. 13, No. 1 ( 2022-01-01), p. 93-
    Details
    In: Biomedical Optics Express, Optica Publishing Group, Vol. 13, No. 1 ( 2022-01-01), p. 93-
    Abstract: Terahertz (THz) spectroscopy and imaging were used to differentiate brain gliomas in a mouse model at different temperatures. The THz spectral difference between brain glioma and normal brain tissues at -10°C and 20°C was obtained in the 0.4–2.53 THz range. The absorption coefficient and refractive index values varied with both temperature and frequency. The fresh ex vivo brain glioma tissues were mapped by THz attenuated total reflection (ATR) imaging at 2.52 THz in the temperature range from -20°C to 35°C. Compared with a histological examination, THz-ATR imaging could better display the tumor areas at a higher temperature. And the averaged reflectivity of normal tissue was increased with the increase of temperature, whereas the tumor region showed a decreasing trend. Thus, the larger THz imaging difference between glioma and normal tissues could be obtained. Moreover, in vivo brain gliomas in mouse models could also be differentiated clearly from normal brain tissues using THz-ATR imaging at 2.52 THz under room temperature. The THz-ATR images corresponded well with those of visual and hematoxylin and eosin (H & E) stained images. Therefore, this pilot study demonstrated that temperature dependence THz spectroscopy and imaging are helpful to the brain gliomas in mouse model detection.
    Type of Medium: Online Resource
    ISSN: 2156-7085 , 2156-7085
    URL: Article
    DOI: 10.1364/BOE.445597
    Language: English
    Publisher: Optica Publishing Group
    Publication Date: 2022
    detail.hit.zdb_id: 2572216-5
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  • 5
    Online Resource
    Online Resource
    Raman spectroscopic diagnosis of blast-induced traumatic brain injury in rats combined with machine learning
    Elsevier BV ; 2024
    In:  Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy Vol. 304 ( 2024-01), p. 123419-
    Details
    In: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, Elsevier BV, Vol. 304 ( 2024-01), p. 123419-
    Type of Medium: Online Resource
    ISSN: 1386-1425
    URL: Article
    DOI: 10.1016/j.saa.2023.123419
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2024
    detail.hit.zdb_id: 2016492-0
    SSG: 11
    SSG: 21
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  • 6
    Online Resource
    Online Resource
    Low-Frequency Vibrational Spectroscopy Characteristic of Pharmaceutical Carbamazepine Co-Crystals with Nicotinamide and Saccharin
    MDPI AG ; 2022
    In:  Sensors Vol. 22, No. 11 ( 2022-05-27), p. 4053-
    Details
    In: Sensors, MDPI AG, Vol. 22, No. 11 ( 2022-05-27), p. 4053-
    Abstract: The pharmaceutical co-crystal has attracted increasing interest due to the improvement of physicochemical properties of active pharmaceutical ingredients. The characterization of pharmaceutical co-crystal is an integral part of the pharmaceutical field. In this paper, the low-frequency vibrational properties for carbamazepine co-crystals with nicotinamide and saccharin (CBZ-NIC and CBZ-SAC) have been characterized by combining the THz spectroscopy with low-wavenumber Raman spectroscopy. The experiment results show that, compared with the individual constituents, CBZ-NIC and CBZ-SAC co-crystals not only have different characteristic absorption peaks in the 0.3-2.5 THz region, but also have significant low-wavenumber Raman characteristic peaks in 0–100 cm−1. Density functional theory was performed to simulate the terahertz and low-wavenumber Raman spectra of the two co-crystals, where the calculation agreed well with the measured vibrational peak positions. The vibrational modes of CBZ-NIC and CBZ-SAC co-crystals were assigned through comparing theoretical results with the experimental spectra. Meanwhile, the low-frequency infrared and/or Raman active of characteristic peaks for such co-crystals were discussed. The results indicate the combination of THz spectroscopy and low-wavenumber Raman spectroscopy can provide more comprehensive low-frequency vibrational information for pharmaceutical co-crystals, such as collective vibration and skeleton vibration, which could play an important role in pharmaceutical science.
    Type of Medium: Online Resource
    ISSN: 1424-8220
    URL: Article
    DOI: 10.3390/s22114053
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2052857-7
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  • 7
    Online Resource
    Online Resource
    Rapid Identification of Easily-Confused Mineral Traditional Chinese Medicine (TCM) Based on Low-Wavenumber Raman and Terahertz Spectroscopy
    MDPI AG ; 2022
    In:  Photonics Vol. 9, No. 5 ( 2022-05-05), p. 313-
    Details
    In: Photonics, MDPI AG, Vol. 9, No. 5 ( 2022-05-05), p. 313-
    Abstract: With the unique advantages of mineral TCMs gradually emerging in clinical treatment, health care, and precaution, it has played an important role in the international medical market. Commonly, mineral TCMs with similar appearance and different processing methods have different effects, but they are easy to be confused in preparation, storage, transportation, and other links, which affects the use and causes related problems. In this paper, six kinds of easily confused mineral TCMs, including coral skeleton, ophicalcitum, calamine, matrii sulfas exsiccatus, gypsum, and alumen, are rapidly characterized using Raman spectroscopy, which can be distinguished with different Raman peaks at 0–300 cm−1 due to the different lattice structure. The THz spectra of these mineral TCMs show that different mineral TCMs have different THz absorption coefficients at 0.3–2.0 THz. Furthermore, compared with the ineffectiveness of the Raman spectrum for differentiating mineral TCMs prepared with disparate processing methods, the terahertz absorption spectrum plays an active role in making up the limitation of low-wavenumber Raman spectroscopy. The combination of low-wavenumber Raman and THz spectroscopy provides a simple and feasible scheme for the identification of mineral TCMs, which could play an important role in the quality control of mineral TCMs.
    Type of Medium: Online Resource
    ISSN: 2304-6732
    URL: Article
    DOI: 10.3390/photonics9050313
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2770002-1
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  • 8
    Online Resource
    Online Resource
    Terahertz spectroscopic diagnosis of early blast-induced traumatic brain injury in rats
    Optica Publishing Group ; 2020
    In:  Biomedical Optics Express Vol. 11, No. 8 ( 2020-08-01), p. 4085-
    Details
    In: Biomedical Optics Express, Optica Publishing Group, Vol. 11, No. 8 ( 2020-08-01), p. 4085-
    Abstract: The early diagnosis of blast-induced traumatic brain injury (bTBI) is of great clinical significance for prognostication and treatment. Here, we report a new strategy for early bTBI diagnosis through serum and cerebrospinal fluid (CSF) based on terahertz time-domain spectroscopy (THz-TDS). The spectral differences of serum and CSF for different degrees of experimental bTBI in rats have been demonstrated in the early period. In addition, the THz spectra of total protein in the hypothalamus and hippocampus were investigated at different time points after blast exposure, which both showed clear differences with time increasing compared with that in the normal brain. This might help to explain the neurological symptoms caused by bTBI. Moreover, based on the THz absorption spectra of serum and CSF, the principal component analysis and machine learning algorithms were performed to automatically identify the degree of bTBI. The highest diagnostic accuracy was up to 95.5%. It is suggested that this method has potential as an alternative method for high-sensitive, rapid, label-free, economical and early diagnosis of bTBI.
    Type of Medium: Online Resource
    ISSN: 2156-7085 , 2156-7085
    URL: Article
    DOI: 10.1364/BOE.395432
    Language: English
    Publisher: Optica Publishing Group
    Publication Date: 2020
    detail.hit.zdb_id: 2572216-5
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