Direct structural observation of liquid molecules in single picoliter microdroplets using near-infrared Raman microprobe spectroscopy combined with laser trapping and chemical-tomographic imaging techniques

A combined Raman microprobe and laser trapping system using near-infrared (NIR) laser light was developed for the investigation of single organic microdroplets. The NIR laser light is noninvasive and reduces fluorescence interference in the Raman spectrum for organic molecules. The focused laser beam used for the laser trapping of a microdroplet serves simultaneously as the laser microprobe for Raman measurement. With this system, the focused laser spot is about 1 μm in diameter, which is small enough for the laser trapping of a single toluene microdroplet in water. The system also makes it possible to visualize a focused laser spot together with a laser-trapped microdroplet by using holographic notch filters. The Raman spectrum for a single laser-trapped toluene microdroplet can be obtained from below 100 cm−1 to above 3000 cm−1 with a charge-coupled device (CCD) detector. Fluorescence interference in the Raman spectrum is completely removed by using NIR laser light. The signal-to-noise ratio (SNR), defined as the ratio of the peak height to the standard deviation of the baseline noise in the spectrum, exceeded 250 for the 1003 cm−1 band of a toluene microdroplet at 1 s, which is sufficient to allow identification of the molecular species of a microdroplet.

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Ganoderma boninense Disease Detection by Near-Infrared Spectroscopy Classification: A Review

Sensors ◽

10.3390/s21093052 ◽

2021 ◽

Vol 21 (9) ◽

pp. 3052

Author(s):

Mas Ira Syafila Mohd Hilmi Tan ◽

Mohd Faizal Jamlos ◽

Ahmad Fairuz Omar ◽

Fatimah Dzaharudin ◽

Suramate Chalermwisutkul ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Early Detection ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Predictive Analytics ◽

Detection System ◽

Imaging Techniques ◽

Ganoderma Boninense ◽

Machine Learning Classification ◽

Detection Techniques

Ganoderma boninense (G. boninense) infection reduces the productivity of oil palms and causes a serious threat to the palm oil industry. This catastrophic disease ultimately destroys the basal tissues of oil palm, causing the eventual death of the palm. Early detection of G. boninense is vital since there is no effective treatment to stop the continuing spread of the disease. This review describes past and future prospects of integrated research of near-infrared spectroscopy (NIRS), machine learning classification for predictive analytics and signal processing towards an early G. boninense detection system. This effort could reduce the cost of plantation management and avoid production losses. Remarkably, (i) spectroscopy techniques are more reliable than other detection techniques such as serological, molecular, biomarker-based sensor and imaging techniques in reactions with organic tissues, (ii) the NIR spectrum is more precise and sensitive to particular diseases, including G. boninense, compared to visible light and (iii) hand-held NIRS for in situ measurement is used to explore the efficacy of an early detection system in real time using ML classifier algorithms and a predictive analytics model. The non-destructive, environmentally friendly (no chemicals involved), mobile and sensitive leads the NIRS with ML and predictive analytics as a significant platform towards early detection of G. boninense in the future.

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Visible and near-infrared hyperspectral imaging techniques allow the reliable quantification of prognostic markers in lymphomas: A pilot study using the Ki67 proliferation index as an example

Experimental Hematology ◽

10.1016/j.exphem.2020.09.191 ◽

2020 ◽

Vol 91 ◽

pp. 55-64

Author(s):

Ella Willenbacher ◽

Andrea Brunner ◽

Wolfgang Willenbacher ◽

Bettina Zelger ◽

Dominik Wolf ◽

...

Keyword(s):

Pilot Study ◽

Hyperspectral Imaging ◽

Near Infrared ◽

Prognostic Markers ◽

Imaging Techniques ◽

Proliferation Index ◽

Reliable Quantification

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Recent advances in applications of multimodal ultrasound-guided photoacoustic imaging technology

Visual Computing for Industry Biomedicine and Art ◽

10.1186/s42492-020-00061-x ◽

2020 ◽

Vol 3 (1) ◽

Author(s):

Shanshan Wang ◽

Yunfeng Zhao ◽

Ye Xu

Keyword(s):

Near Infrared ◽

Photoacoustic Imaging ◽

Imaging Techniques ◽

Color Doppler ◽

Power Doppler ◽

Infrared Region ◽

Detection Methods ◽

Imaging Mode ◽

Nonlinear Imaging ◽

The Relationship

Abstract Photoacoustic imaging (PAI) is often performed simultaneously with ultrasound imaging and can provide functional and cellular information regarding the tissues in the anatomical markers of the imaging. This paper describes in detail the basic principles of photoacoustic/ultrasound (PA/US) imaging and its application in recent years. It includes near-infrared-region PA, photothermal, photodynamic, and multimode imaging techniques. Particular attention is given to the relationship between PAI and ultrasonic imaging; the latest high-frequency PA/US imaging of small animals, which involves not only B-mode, but also color Doppler mode, power Doppler mode, and nonlinear imaging mode; the ultrasonic model combined with PAI, including the formation of multimodal imaging; the preclinical imaging methods; and the most effective detection methods for clinical research for the future.

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3D Printing and NIR Fluorescence Imaging Techniques for the Fabrication of Implants

Materials ◽

10.3390/ma13214819 ◽

2020 ◽

Vol 13 (21) ◽

pp. 4819

Author(s):

Yong Joon Suh ◽

Tae Hyeon Lim ◽

Hak Soo Choi ◽

Moon Suk Kim ◽

Sang Jin Lee ◽

...

Keyword(s):

3D Printing ◽

Fluorescence Imaging ◽

Near Infrared ◽

Imaging Techniques ◽

The Body ◽

Monitoring Method ◽

Printing Technology ◽

3D Printing Technology ◽

Nir Fluorescence ◽

Printing Techniques

Three-dimensional (3D) printing technology holds great potential to fabricate complex constructs in the field of regenerative medicine. Researchers in the surgical fields have used 3D printing techniques and their associated biomaterials for education, training, consultation, organ transplantation, plastic surgery, surgical planning, dentures, and more. In addition, the universal utilization of 3D printing techniques enables researchers to exploit different types of hardware and software in, for example, the surgical fields. To realize the 3D-printed structures to implant them in the body and tissue regeneration, it is important to understand 3D printing technology and its enabling technologies. This paper concisely reviews 3D printing techniques in terms of hardware, software, and materials with a focus on surgery. In addition, it reviews bioprinting technology and a non-invasive monitoring method using near-infrared (NIR) fluorescence, with special attention to the 3D-bioprinted tissue constructs. NIR fluorescence imaging applied to 3D printing technology can play a significant role in monitoring the therapeutic efficacy of 3D structures for clinical implants. Consequently, these techniques can provide individually customized products and improve the treatment outcome of surgeries.

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Recent advances of polyoxometalates in multi-functional imaging and photothermal therapy

Journal of Materials Chemistry B ◽

10.1039/d0tb01375g ◽

2020 ◽

Vol 8 (36) ◽

pp. 8189-8206 ◽

Cited By ~ 1

Author(s):

Xueping Kong ◽

Guofeng Wan ◽

Bao Li ◽

Lixin Wu

Keyword(s):

Functional Imaging ◽

Photothermal Therapy ◽

Near Infrared ◽

Imaging Techniques ◽

Tumor Therapy ◽

Recent Advances ◽

Bio Imaging

The recent advances of polyoxometalate clusters in terms of near infrared photothermal properties for targeted tumor therapy have been summarized while the combined applications with various bio-imaging techniques and chemotherapies are reviewed.

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