Optimizing optical imaging of tumor-like inclusions in biological tissues

2002 ◽  
Author(s):  
Vladimir V. Barun ◽  
Alphiya Y. Khairullina
Keyword(s):  
Optical Imaging ◽  
Biological Tissues

scholarly journals 3-D-Printed Registration Phantom for Combined Ultrasound and Optical Imaging of Biological Tissues

2020 ◽  
Vol 46 (7) ◽  
pp. 1808-1814
Author(s):  
Michael A. Pinkert ◽  
Benjamin L. Cox ◽  
Bing Dai ◽  
Timothy J. Hall ◽  
Kevin W. Eliceiri
Keyword(s):  
Optical Imaging ◽  
Biological Tissues

scholarly journals Multi-spectral angular domain optical imaging in biological tissues using diode laser sources

2008 ◽  
Vol 16 (19) ◽  
pp. 14456 ◽  
Author(s):  
Fartash Vasefi ◽  
Bozena Kaminska ◽  
Paulman K. Y. Chan ◽  
Glenn H. Chapman
Keyword(s):  
Optical Imaging ◽  
Diode Laser ◽  
Biological Tissues ◽  
Angular Domain ◽  
Laser Sources

Multimodal Biomedical Optical Imaging Review: Towards Comprehensive Investigation of Biological Tissues

2015 ◽  
Vol 3 (2) ◽  
pp. 72-87 ◽  
Author(s):  
Qi Pian ◽  
Chao Wang ◽  
Xueli Chen ◽  
Jimin Liang ◽  
Lingling Zhao ◽  
...  
Keyword(s):  
Optical Imaging ◽  
Biological Tissues ◽  
Comprehensive Investigation ◽  
Biomedical Optical Imaging

scholarly journals Development of novel light propagation algorithms in turbid media with varying optical heterogeneity

2017 ◽  
Author(s):  
Daniele Ancora
Keyword(s):  
Optical Imaging ◽  
Light Propagation ◽  
Complex Disease ◽  
Imaging Techniques ◽  
Therapy Monitoring ◽  
Biological Tissues ◽  
Experimental Conditions ◽  
Main Challenge ◽  
Imaging Science ◽  
Spherical Tumor

The field of biomedical imaging has experiences a rapid growth in recent years driven by i) theincreased demand for better disease detection and therapy monitoring and ii) the desire tovisualize biology even at the nanoscopic level. This growth has been supported by theimplementation of ad-hoc designed experimental systems and related theoretical andcomputational/numerical support methods. In this dynamic environment, the continuousmedical request for harmless imaging probes and higher resolution, has ultimately pushed theimaging research community towards the developing of novel techniques in the opticalwavelength regime. The high resolution, especially in microscopy, and the flexibility in therealization of optical setups favored the kick-start of optical imaging techniques, which havefinally met their main challenge into the highly scattering of light in biological tissue. Especiallyfor biological samples, the numerous scattering events occurring during the photon propagation process limit the penetration depth and the possibility to perform direct imaging in thicker and not transparent samples. To overcome this limitation, numerous theoretical strategies where proposed to isolate the scattering contribution, minimize the image blurring and reduce the speckled noise due to the random light-path scrambling induced by the complex variation of refractive index in biological tissues. In this thesis, we will examine theoretically and experimentally the scattering process from two opposite points of view, tackling at the same time specific challenges in optical imaging science. We start by examining the light propagation in diffusive biological tissues considering the particular case of the presence of optically transparent regions enclosed in a highly scattering environment. We will point out how, the correct inclusion of this information, can ultimately lead to higher resolution reconstructions and especially aiming at brain tumor neuroimaging. We examined in details the increased accuracy in the forward modelling of the fluorescent emission of spherical tumor distributions in a mouse head, in particular if compared with other currently used techniques. We then examine the extreme case of the three-dimensional imaging of a totally hidden sample, in which the phase has been scrambled by a random scattering layer. By using appropriate numerical methods, we prove the possibility to perform such hiddenreconstructions in a very efficient way, opening the path toward the unexplored field of threedimensional hidden imaging. We present how, the properties described while addressingthese challenges, lead us to the development of a novel alignment-free three-dimensionaltomographic technique that we refer to as Phase-Retrieved Tomography. We have proved thismethod theoretically and used it for the study of the fluorescence distribution in a threedimensional spherical tumor model, the multicellular cancer cell spheroid, one of the most important biological models for the study of such a complex disease. We finally conclude our study, by imaging spherical tumors under two extremely different experimental conditions, improving the depth to resolution ratio of the current state of the art in live microscopic imaging, as defined by Light Sheet Fluorescence Microscopy. Throughout the whole doctoral period, these studies have been stimulating and creating new questions and ideas, which will be discussed in the following and that form the natural continuation of the projects exposed in the present thesis.

scholarly journals Near-Infrared Luciferin Analogs for In Vivo Optical Imaging

2021 ◽  
Author(s):  
Ryohei Saito-Moriya ◽  
Rika Obata ◽  
Shojiro A. Maki
Keyword(s):  
Optical Imaging ◽  
Near Infrared ◽  
Bioluminescence Imaging ◽  
Imaging System ◽  
Biological Tissues ◽  
Nir Light ◽  
In Vivo Bioluminescence Imaging ◽  
Firefly Bioluminescence ◽  
In Vivo Optical Imaging

The firefly bioluminescence reaction has been exploited for in vivo optical imaging in life sciences. To develop highly sensitive bioluminescence imaging technology, many researchers have synthesized luciferin analogs and luciferase mutants. This chapter first discusses synthetic luciferin analogs and their structure–activity relationships at the luminescence wavelength of the firefly bioluminescence reaction. We then discuss the development of luciferin analogs that produce near-infrared (NIR) light. Since NIR light is highly permeable for biological tissues, NIR luciferin analogs might sensitively detect signals from deep biological tissues such as the brain and lungs. Finally, we introduce two NIR luciferin analogs (TokeOni and seMpai) and a newly developed bioluminescence imaging system (AkaBLI). TokeOni can detect single-cell signals in mouse tissue and luminescence signals from marmoset brain, whereas seMpai can detect breast cancer micro-metastasis. Both reagents are valid for in vivo bioluminescence imaging with high sensitivity.

scholarly journals Harnessing the Power of Hybrid Light Propagation Model for Three-Dimensional Optical Imaging in Cancer Detection

2021 ◽  
Vol 11 ◽  
Author(s):  
Lin Wang ◽  
Wentao Zhu ◽  
Ying Zhang ◽  
Shangdong Chen ◽  
Defu Yang
Keyword(s):  
Optical Imaging ◽  
Cancer Detection ◽  
3D Imaging ◽  
Light Propagation ◽  
Three Dimensional ◽  
Biological Tissues ◽  
Quantitative Information ◽  
Propagation Model ◽  
Propagation Models ◽  
Future Potential

Optical imaging is an emerging technology capable of qualitatively and quantitatively observing life processes at the cellular or molecular level and plays a significant role in cancer detection. In particular, to overcome the disadvantages of traditional optical imaging that only two-dimensionally and qualitatively detect biomedical information, the corresponding three-dimensional (3D) imaging technology is intensively explored to provide 3D quantitative information, such as localization and distribution and tumor cell volume. To retrieve these information, light propagation models that reflect the interaction between light and biological tissues are an important prerequisite and basis for 3D optical imaging. This review concentrates on the recent advances in hybrid light propagation models, with particular emphasis on their powerful use for 3D optical imaging in cancer detection. Finally, we prospect the wider application of the hybrid light propagation model and future potential of 3D optical imaging in cancer detection.

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