scholarly journals Ultraviolet Fluorescence Imaging of Fingerprints

2006 ◽  
Vol 6 ◽  
pp. 691-699 ◽  
Author(s):  
Naoki Saitoh ◽  
Norimitsu Akiba
Keyword(s):  
Fluorescence Imaging ◽  
Imaging System ◽  
Laser System ◽  
White Paper ◽  
Excitation Wavelength ◽  
Band Pass Filter ◽  
High Grade ◽  
Pass Filter ◽  
Laser Illumination ◽  
Fluorescence Images

We studied fluorescence imaging of fingerprints on a high-grade white paper in the deep ultraviolet (UV) region with a nanosecond-pulsed Nd-YAG laser system that consists of a tunable laser and a cooled CCD camera.Clear fluorescence images were obtained by time-resolved imaging with a 255- to 425-nm band-pass filter, which cuts off strong fluorescence of papers. Although fluorescence can be imaged with any excitation wavelength between 220 and 290 nm, 230 and 280 nm are the best in terms of image quality. However, the damage due to laser illumination was smaller for 266-nm excitation than 230- or 280-nm excitation.Absorption images of latent fingerprints on a high-grade white paper are also obtained with our imaging system using 215- to 280-nm laser light. Shorter wavelengths produce better images and the best image was obtained with 215 nm. Absorption images are also degraded slightly by laser illumination, but their damage is smaller than that of fluorescence images.

scholarly journals Precise Estimation of NDVI with a Simple NIR Sensitive RGB Camera and Machine Learning Methods for Corn Plants

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3208 ◽  
Author(s):  
Liangju Wang ◽  
Yunhong Duan ◽  
Libo Zhang ◽  
Tanzeel U. Rehman ◽  
Dongdong Ma ◽  
...  
Keyword(s):  
Machine Learning ◽  
Professional Training ◽  
Imaging System ◽  
Estimation Method ◽  
Machine Learning Algorithms ◽  
Plant Phenotyping ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Corn Plants ◽  
Hyperspectral Camera

The normalized difference vegetation index (NDVI) is widely used in remote sensing to monitor plant growth and chlorophyll levels. Usually, a multispectral camera (MSC) or hyperspectral camera (HSC) is required to obtain the near-infrared (NIR) and red bands for calculating NDVI. However, these cameras are expensive, heavy, difficult to geo-reference, and require professional training in imaging and data processing. On the other hand, the RGBN camera (NIR sensitive RGB camera, simply modified from standard RGB cameras by removing the NIR rejection filter) have also been explored to measure NDVI, but the results did not exactly match the NDVI from the MSC or HSC solutions. This study demonstrates an improved NDVI estimation method with an RGBN camera-based imaging system (Ncam) and machine learning algorithms. The Ncam consisted of an RGBN camera, a filter, and a microcontroller with a total cost of only $70 ~ 85. This new NDVI estimation solution was compared with a high-end hyperspectral camera in an experiment with corn plants under different nitrogen and water treatments. The results showed that the Ncam with two-band-pass filter achieved high performance (R2 = 0.96, RMSE = 0.0079) at estimating NDVI with the machine learning model. Additional tests showed that besides NDVI, this low-cost Ncam was also capable of predicting corn plant nitrogen contents precisely. Thus, Ncam is a potential option for MSC and HSC in plant phenotyping projects.

scholarly journals Double-Clad Optical Fiber-Based Multi-Contrast Noncontact Photoacoustic and Fluorescence Imaging System

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 3008
Author(s):  
Jun Geun Shin ◽  
Jonghyun Eom
Keyword(s):  
Fluorescence Imaging ◽  
Multimodal Imaging ◽  
Imaging System ◽  
Imaging Technique ◽  
Photoacoustic Imaging ◽  
Imaging Systems ◽  
Complementary Information ◽  
Imaging Results ◽  
Fluorescence Imaging System ◽  
Fluorescence Images

A noncontact photoacoustic and fluorescence dual-modality imaging system is proposed, which integrates a fiber-based fluorescence imaging system with noncontact photoacoustic imaging using a specially fabricated double-cladding fiber (DCF) coupler and a DCF lens. The performance of the DCF coupler and lens was evaluated, and the feasibility of this new imaging system was demonstrated using simple tubing phantoms with black ink and fluorophore. Our imaging results demonstrated that the multimodal imaging technique can simultaneously acquire photoacoustic and fluorescence images without coming into contact with the sample. Consequently, the developed method is the first noncontact scheme among multimodal imaging systems that is integrated with a photoacoustic imaging system, which can provide varied and complementary information about the sample.

Induced fluorescence of medullary carcinoma of the thyroid: A technology with potential to improve visualization of malignant tissue at the time of surgical resection

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 15503-15503
Author(s):  
T. E. Johnson ◽  
G. A. Luiken ◽  
M. M. Quigley ◽  
M. Xu ◽  
R. M. Hoffman
Keyword(s):  
Cell Line ◽  
Control Mouse ◽  
Imaging System ◽  
Medullary Carcinoma ◽  
Thyroid Cell ◽  
Band Pass Filter ◽  
Malignant Tissue ◽  
Pass Filter ◽  
Blue Led ◽  
Thyroid Cell Line

15503 Background: Surgery for medullary carcinoma of the thyroid can at times be technically challenging to the surgeon. Inducing the cancer cells to be fluorescent would have the potential to improve the surgeon’s ability to quickly and accurately identify and excise all of the malignant tissue. We have previously demonstrated the feasibility of induced tumor fluorescence with fluorophor-tagged anti-tumor antigen antibodies using human colon and breast cancer cell lines. We present here our results using a human medullary carcinoma of the thyroid cell line in the nude mouse model. Methods: A human medullary carcinoma of the thyroid cell line that was demonstrated to express CA 15–3 was used. Thyroid carcinoma cells were subcutaneously implanted in 4 nude mice (3 study mice and 1 control mice). Three weeks after injection, tumor nodules were easily detectable. Using the tail vein method, 3 study mice were injected with fluorophore-tagged anti-CA 15–3 and 1 control mouse with fluorophore-tagged IgG. Mice were examined using a small animal imaging system with a 470 nm light source and appropriate filters. They were also examined using a simple blue LED flashlight fitted with a fixed 470 nm band pass filter for illumination and were observed through filtered goggles. Results: Fluorescence of tumor nodules in the study mice could be seen through the skin. On dissection and exposure of the tumor nodules, this fluorescence was intense and clearly distinguishable from the surrounding normal tissue using either the imaging system or the blue LED. The control mouse injected with fluorophore-tagged IgG and examined in a similar manner revealed no tumor fluorescence. Conclusions: When tumor antigens are known, fluorophore-tagged antibody induced fluorescence is simple, easy to perform, requires no technically complex equipment or operator expertise and could be adapted to thyroid cancer surgery in the academic or community hospital setting. This technology would be indicated in those patients undergoing initial resection of medullary carcinoma of the thyroid as well as in those patients undergoing resection of recurrent disease where accurate identification of tumor tissue may be more difficult and time consuming. No significant financial relationships to disclose.

scholarly journals Detecting Bacteria on Wounds with Hyperspectral Imaging in Fluorescence Mode

2020 ◽  
Vol 6 (3) ◽  
pp. 264-267
Author(s):  
Christoph. Hornberger ◽  
Bert. H. Herrmann ◽  
Georg Daeschlein ◽  
Sebastian von Podewils ◽  
Claudia Sicher ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Imaging System ◽  
Bacterial Colonization ◽  
Healing Process ◽  
Foot Ulcer ◽  
Diabetic Foot Ulcer ◽  
Principal Component ◽  
Excitation Wavelength ◽  
Microbiological Analysis ◽  
Fluorescence Images

AbstractChronic non-healing wounds represent an increasing problem. In order to enable physicians and nurses to make evidence based decisions on wound treatment, the professional societies call for supporting tools to be offered to physicians. Oxygen supply, bacteria colonization and other parameters influence the healing process. So far, these parameters cannot be monitored in an objective and routinely manner. Existing methods like the microbiological analysis of wound swabs, mean a great deal of effort and partly a long delay. In this paper 42 fluorescence images from 42 patients with diabetic foot ulcer, recorded with a hyperspectral imaging system (TIVITA®), converted for fluorescence imaging, were analysed. Beside the fluorescence images, information about the bacterial colonization is available from microbiological analysis of wound swabs. After preprocessing, principal component analysis, PCA, is used for data analysis with a 405 nm excitation wavelength, the emission wavelength range 510 - 745 nm is used for analysis. After dividing the data into a training and a test dataset it could be shown, that bacteria are detectable in the wound area. A quantification in bacterial colonization counts (BCC) was not in the focus of the research in this study stage.

Fluorescent antibody tagging of colon cancer in the nude mouse; a model for improved surgical accuracy in the oncologic patient

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 13501-13501
Author(s):  
G. A. Luiken ◽  
M. Xu ◽  
M. M. Quigley ◽  
R. M. Hoffman ◽  
A. D. Chan
Keyword(s):  
Colon Cancer ◽  
Nude Mouse ◽  
Imaging System ◽  
Ovarian Tissue ◽  
Fluorescent Antibody ◽  
Tumor Resection ◽  
Hospital Setting ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Blue Led

13501 Background: Induced fluorescence of malignant tumors has the potential to improve the surgeon’s ability to accurately identify and excise all malignant tissue. Tumors can be made fluorescent using fluorophore-tagged anti-tumor antigen antiboies. We present here our results using a human colon cancer cell line in the nude mouse model. Methods: HCT 116 colon cancer cells were subcutaneously or orthotopically implanted in 16 nude mice (12 study mice and 4 control mice). Two to 8 weeks after injection, tumor nodules were easily detectable. Using the tail vein method, all mice were injected with fluorophore-tagged anti-CEA or fluorophore-tagged IgG. Mice were examined using a small animal imaging system with a 470 nm light source and appropriate filters. They were also examined using a simple blue LED flashlight fitted with a fixed 470 nm band pass filter for illumination and were observed through filtered goggles. Results: All tumor nodules in the study mice demonstrated green fluorescence when visualized through the skin. On dissection and exposure of the tumor nodules, this fluorescence was intense and clearly distinguishable from the surrounding normal tissue using either the imaging system or the blue LED. Very small (<0.5mm) metastatic nodules were easily identified. Bright tumor fluorescence remained visible up to 5 days after injection. Control mice injected with fluorophore-tagged IgG and examined in a similar manner revealed no tumor fluorescence. Minimal non-specific dull fluorescence was occasionally observed in gut mucosa and ovarian tissue but was easily distinguished from the bright tumor fluorescence. Conclusions: When tumor surface antigens are known and antibodies to those antigens are available, this technology is simple, easy to perform, requires no technically complex equipment or operator expertise and could be readily adapted for cancer surgery in the academic or community hospital setting. Major indications for this technology would be in those patients where tumor resection offers an excellent chance for cure or significantly improves survival. The implications for increased accuracy of procedures such as resection of primary colorectal cancer or resection of solitary hepatic or pulmonary metastases are clear. No significant financial relationships to disclose.

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