scholarly journals Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2649
Author(s):  
Toshihiro Takamatsu ◽  
Yuichi Kitagawa ◽  
Kohei Akimoto ◽  
Ren Iwanami ◽  
Yuto Endo ◽  
...  

In this study, a laparoscopic imaging device and a light source able to select wavelengths by bandpass filters were developed to perform multispectral imaging (MSI) using over 1000 nm near-infrared (OTN-NIR) on regions under a laparoscope. Subsequently, MSI (wavelengths: 1000–1400 nm) was performed using the built device on nine live mice before and after tumor implantation. The normal and tumor pixels captured within the mice were used as teaching data sets, and the tumor-implanted mice data were classified using a neural network applied following a leave-one-out cross-validation procedure. The system provided a specificity of 89.5%, a sensitivity of 53.5%, and an accuracy of 87.8% for subcutaneous tumor discrimination. Aggregated true-positive (TP) pixels were confirmed in all tumor-implanted mice, which indicated that the laparoscopic OTN-NIR MSI could potentially be applied in vivo for classifying target lesions such as cancer in deep tissues.

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Romuald Jolivot ◽  
Yannick Benezeth ◽  
Franck Marzani

In vivo quantitative assessment of skin lesions is an important step in the evaluation of skin condition. An objective measurement device can help as a valuable tool for skin analysis. We propose an explorative new multispectral camera specifically developed for dermatology/cosmetology applications. The multispectral imaging system provides images of skin reflectance at different wavebands covering visible and near-infrared domain. It is coupled with a neural network-based algorithm for the reconstruction of reflectance cube of cutaneous data. This cube contains only skin optical reflectance spectrum in each pixel of the bidimensional spatial information. The reflectance cube is analyzed by an algorithm based on a Kubelka-Munk model combined with evolutionary algorithm. The technique allows quantitative measure of cutaneous tissue and retrieves five skin parameter maps: melanin concentration, epidermis/dermis thickness, haemoglobin concentration, and the oxygenated hemoglobin. The results retrieved on healthy participants by the algorithm are in good accordance with the data from the literature. The usefulness of the developed technique was proved during two experiments: a clinical study based on vitiligo and melasma skin lesions and a skin oxygenation experiment (induced ischemia) with healthy participant where normal tissues are recorded at normal state and when temporary ischemia is induced.


2011 ◽  
Vol 04 (02) ◽  
pp. 199-208
Author(s):  
ZHIQIU LI ◽  
SHUDONG JIANG ◽  
VENKATARAMANAN KRISHNASWAMY ◽  
SCOTT C. DAVIS ◽  
SUBHADRA SRINIVASAN ◽  
...  

A near-infrared (NIR) tomography system with spectrally-encoded sources in two wavelength bands was built to quantify the temporal oxyhemoglobin and deoxyhemoglobin contrast in breast tissue at a 20 Hz bandwidth. The system was integrated into a 3 T magnetic resonance (MR) imaging system through a customized breast coil interface for simultaneous optical and MRI acquisition. In this configuration, the MR images provide breast tissue structural information for NIR spectroscopy of adipose and fibro-glandular tissue in breast. Spectral characterization performance of the NIR system was verified through dynamic phantom experiments. Normal human subjects were imaged with finger pulse oximeter (PO) plethysmogram synchronized to the NIR system to provide a frequency-locked reference. Both the raw data from the NIR system and the recovered absorption coefficients of the breast at two wavelengths showed the same frequency of about 1.3 Hz as the PO output. The frequency lock-in approach provided a practical platform for MR-localized recovery of small pulsatile variations of oxyhemoglobin and deoxyhemoglobin in the breast, which are related to the heartbeat and vascular resistance of the tissue.


2014 ◽  
Vol 306 (5) ◽  
pp. R281-R290 ◽  
Author(s):  
Tyler S. Nelson ◽  
Ryan E. Akin ◽  
Michael J. Weiler ◽  
Timothy Kassis ◽  
Jeffrey A. Kornuta ◽  
...  

The ability to quantify collecting vessel function in a minimally invasive fashion is crucial to the study of lymphatic physiology and the role of lymphatic pump function in disease progression. Therefore, we developed a highly sensitive, minimally invasive research platform for quantifying the pumping capacity of collecting lymphatic vessels in the rodent tail and forelimb. To achieve this, we have integrated a near-infrared lymphatic imaging system with a feedback-controlled pressure cuff to modulate lymph flow. After occluding lymphatic flow by inflating a pressure cuff on the limb or tail, we gradually deflate the cuff while imaging flow restoration proximal to the cuff. Using prescribed pressure applications and automated image processing of fluorescence intensity levels in the vessels, we were able to noninvasively quantify the effective pumping pressure (Peff, pressure at which flow is restored after occlusion) and vessel emptying rate (rate of fluorescence clearance during flow occlusion) of lymphatics in the rat. To demonstrate the sensitivity of this system to changes in lymphatic function, a nitric oxide (NO) donor cream, glyceryl trinitrate ointment (GTNO), was applied to the tails. GTNO decreased Peff of the vessels by nearly 50% and the average emptying rate by more than 60%. We also demonstrate the suitability of this approach for acquiring measurements on the rat forelimb. Thus, this novel research platform provides the first minimally invasive measurements of Peff and emptying rate in rodents. This experimental platform holds strong potential for future in vivo studies that seek to evaluate changes in lymphatic health and disease.


Micromachines ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 180 ◽  
Author(s):  
Kacie Kaile ◽  
Anuradha Godavarty

Smartphone-based technologies for medical imaging purposes are limited, especially when it involves the measurement of physiological information of the tissues. Herein, a smartphone-based near-infrared (NIR) imaging device was developed to measure physiological changes in tissues across a wide area and without contact. A custom attachment containing multiple multi-wavelength LED light sources (690, 800, and 840 nm; and <4 mW of optical power per LED), source driver, and optical filters and lenses was clipped onto a smartphone that served as the detector during data acquisition. The ability of the device to measure physiological changes was validated via occlusion studies on control subjects. Noise removal techniques using singular value decomposition algorithms effectively removed surface noise and distinctly differentiated the physiological changes in response to occlusion. In the long term, the developed smartphone-based NIR imaging device with capabilities to capture physiological changes will be a great low-cost alternative for clinicians and eventually for patients with chronic ulcers and bed sores, and/or in pre-screening for potential ulcers in diabetic subjects.


2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Tasya Vadya Sarira ◽  
Kenneth Clarke ◽  
Philip Weinstein ◽  
Lian Pin Koh ◽  
Megan Lewis

Mosquito breeding habitat identification often relies on slow, labour-intensive and expensive ground surveys. With advances in remote sensing and autonomous flight technologies, we endeavoured to accelerate this detection by assessing the effectiveness of a drone multispectral imaging system to determine areas of shallow inundation in an intertidal saltmarsh in South Australia. Through laboratory experiments, we characterised Near-Infrared (NIR) reflectance responses to water depth and vegetation cover, and established a reflectance threshold for mapping water sufficiently deep for potential mosquito breeding. We then applied this threshold to field-acquired drone imagery and used simultaneous in-situ observations to assess its mapping accuracy. A NIR reflectance threshold of 0.2 combined with a vegetation mask derived from Normalised Difference Vegetation Index (NDVI) resulted in a mapping accuracy of 80.3% with a Cohen’s Kappa of 0.5, with confusion between vegetation and shallow water depths (< 10 cm) appearing to be major causes of error. This high degree of mapping accuracy was achieved with affordable drone equipment, and commercially available sensors and Geographic Information Systems (GIS) software, demonstrating the efficiency of such an approach to identify shallow inundation likely to be suitable for mosquito breeding.


RSC Advances ◽  
2015 ◽  
Vol 5 (116) ◽  
pp. 95903-95910 ◽  
Author(s):  
Qiping Huang ◽  
Huanhuan Li ◽  
Jiewen Zhao ◽  
Gengping Huang ◽  
Quansheng Chen

Near infrared multispectral imaging system based on three wavebands—1280 nm, 1440 nm and 1660 nm—was developed for the non-destructive sensing of the tenderness and water holding capacity of pork.


2018 ◽  
Author(s):  
Pattipong Wisanpitayakorn ◽  
Keith J. Mickolajczyk ◽  
William O. Hancock ◽  
Luis Vidali ◽  
Erkan Tüzel

AbstractCytoskeletal filaments such as microtubules and actin filaments play important roles in the mechanical integrity of cells and the ability of cells to respond to their environment. Measuring the mechanical properties of cytoskeletal structures is crucial for gaining insight into intracellular mechanical stresses and their role in regulating cellular processes. One of the ways to characterize these mechanical properties is by measuring their persistence length, the average length over which filaments stay straight. There are several approaches in the literature for measuring filament deformations, including Fourier analysis of images obtained using fluorescence microscopy. Here, we show how curvature distributions can be used as an alternative tool to quantify bio-filament deformations, and investigate how the apparent stiffness of filaments depends on the resolution and noise of the imaging system. We present analytical calculations of the scaling curvature distributions as a function of filament discretization, and test our predictions by comparing Monte Carlo simulations to results from existing techniques. We also apply our approach to microtubules and actin filaments obtained fromin vitrogliding assay experiments with high densities of non-functional motors, and calculate the persistence length of these filaments. The presented curvature analysis is significantly more accurate compared to existing approaches for small data sets, and can be readily applied to bothin vitroorin vivofilament data through the use of an ImageJ plugin we provide.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Dong Oh Kang ◽  
Yong Geun Lim ◽  
Joon Woo Song ◽  
Ye Hee Park ◽  
Hyun Jung Kim ◽  
...  

Background/Objectives: Vascular spotty calcification is an actively regulated biological process resulting in plaque vulnerability. We investigated the feasibility of a novel alendronate-based near-infrared fluorescence (NIRF)-emitting probe to specifically target atherosclerotic calcification in a murine model in vivo using our customized high-resolution multichannel intravital molecular imaging system (IVFM). Methods/Results: We have fabricated a calcium-binding NIRF probe by chemically coupling alendronate, a specific targeting ligand, and NIRF-emitting Cy5.5 to the ends of azide-PEG-NHS ester (Al-Cy5.5). Prepared Al-Cy5.5 has high affinity for calcium phosphate-containing bone minerals. In vitro, Al-Cy5.5 specifically binds to RANKL-induced osteogenic-macrophages as compared to macrophages (p<0.01). On whole body fluorescence imaging to assess time-dependent excretion, NIRF signals remained visible up to 48 hrs. Then, in mice with calcified plaque induced by a combination diet of high-cholesterol and warfarin, Al-Cy5.5 (2.5 mg/kg) was intravenously injected. 48 hrs after administration, murine calcified atheroma was assessed using a customized high-resolution multichannel IVFM, which demonstrated highly enhanced NIRF signals in vivo in the calcified areas of murine carotid plaques (p<0.01, Figure). Ex vivo laser scanning fluorescence microscopic and immune-histological findings from the corresponding sister sections well corroborated the in vivo imaging results, which demonstrated the co-localization of NIRF signals with plaque calcifications (von-Kossa stain). Conclusions: Our novel calcification targeted probe, Al-Cy5.5, was able to selectively target atheroma calcification in vivo in a murine model as assessed by optical IVFM. This novel targetable strategy is expected to provide a promising theranostic basis for calcified high-risk plaques by integration with multimodal customized catheter imaging system.


2019 ◽  
Vol 15 (7) ◽  
pp. 1482-1491 ◽  
Author(s):  
Xu Wang ◽  
Gao-Feng Liang ◽  
Xue-Qin Hao ◽  
Shu-Ying Feng ◽  
Lu Dai ◽  
...  

As a widely used first-line chemotherapy drug for tumor, Doxorubicin (DOX) can induce various side effects on normal tissues because of its non-specific distribution in the body. Emerging evidence has shown that platelets have the capability to recognize and interact with tumor cells. Inspired by this, the platelet-based drug delivery system was constructed by loading of DOX in platelet cytoplasm and modification of transferrin on the surface of platelet (Tf-P-DOX). The encapsulation efficiency of DOX in platelet was the highest at the DOX concentration of 0.05 mM, and reached to 64.9%. Fluorescence microscopy showed that the Tf-P-DOX facilitated cell uptakes and enhanced intracellular drug accumulation in B16F10 cells. Compared with free DOX, Tf-P-DOX exhibited an enhanced effect on cell apoptosis at the same concentration of DOX. In vivo imaging system showed that the near-infrared fluorescence of B16F10 tumor-bearing mice was mainly accumulated in the tumor site, which caused the inhibition of tumor growth in mice. The morphological changes of tumor tissue in Tf-P-DOX group was significant in comparison with those of the control group, including the small nucleus, the insufficiency of cancerous nest, and the infiltration of inflammatory cells, while Tf-P-DOX did not show significant adverse effects on normal tissues. Compared with the control group, the levels of caspase 9 and caspase 3 protein expressions were increased significantly in Tf-P-DOX group. Our studies suggest platelets can be repurposed as promising carriers for efficient targeting and treatment of solid tumors.


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