Fluorescent Imaging: Surface Modification of Exfoliated Layered Gadolinium Hydroxide for the Development of Multimodal Contrast Agents for MRI and Fluorescence Imaging (Adv. Funct. Mater. 21/2009)

2009 ◽  
Vol 19 (21) ◽  
pp. NA-NA
Author(s):  
Young-su Yoon ◽  
Byung-Il Lee ◽  
Kyung Sig Lee ◽  
Geun Ho Im ◽  
Song-Ho Byeon ◽  
...  
Keyword(s):  
Surface Modification ◽  
Contrast Agents ◽  
Fluorescence Imaging ◽  
Fluorescent Imaging

Surface Modification of Exfoliated Layered Gadolinium Hydroxide for the Development of Multimodal Contrast Agents for MRI and Fluorescence Imaging

2009 ◽  
Vol 19 (21) ◽  
pp. 3375-3380 ◽  
Author(s):  
Young-su Yoon ◽  
Byung-Il Lee ◽  
Kyung Sig Lee ◽  
Geun Ho Im ◽  
Song-Ho Byeon ◽  
...  
Keyword(s):  
Surface Modification ◽  
Contrast Agents ◽  
Fluorescence Imaging

Lysosomal targeted NIR photosensitizer for photodynamic therapy and two-photon fluorescent imaging

2021 ◽  
Author(s):  
Ruiyuan Liu ◽  
Yuping Zhou ◽  
Di Zhang ◽  
Genghan He ◽  
Chuang Liu ◽  
...  
Keyword(s):  
Photodynamic Therapy ◽  
Fluorescence Imaging ◽  
Near Infrared ◽  
Fluorescent Imaging ◽  
High Fidelity ◽  
Design And Synthesis ◽  
Two Photon ◽  
Two Photon Fluorescence ◽  
Photon Fluorescence

Design and synthesis of near-infrared (NIR) emissive fluorophore for imaging of organelle and photodynamic therapy has received enormous attention. Hence, NIR emissive fluorophore of high-fidelity lysosome targeting, two-photon fluorescence imaging,...

scholarly journals Real-time intraoperative glioma diagnosis using fluorescence imaging and deep convolutional neural networks

2021 ◽  
Author(s):  
Biluo Shen ◽  
Zhe Zhang ◽  
Xiaojing Shi ◽  
Caiguang Cao ◽  
Zeyu Zhang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Fluorescence Imaging ◽  
Convolutional Neural Networks ◽  
Frozen Section ◽  
Fluorescent Imaging ◽  
Pathological Diagnosis ◽  
Pathological Examination ◽  
Deep Convolutional Neural Networks ◽  
Fluorescence Images

Abstract Purpose Surgery is the predominant treatment modality of human glioma but suffers difficulty on clearly identifying tumor boundaries in clinic. Conventional practice involves neurosurgeon’s visual evaluation and intraoperative histological examination of dissected tissues using frozen section, which is time-consuming and complex. The aim of this study was to develop fluorescent imaging coupled with artificial intelligence technique to quickly and accurately determine glioma in real-time during surgery. Methods Glioma patients (N = 23) were enrolled and injected with indocyanine green for fluorescence image–guided surgery. Tissue samples (N = 1874) were harvested from surgery of these patients, and the second near-infrared window (NIR-II, 1000–1700 nm) fluorescence images were obtained. Deep convolutional neural networks (CNNs) combined with NIR-II fluorescence imaging (named as FL-CNN) were explored to automatically provide pathological diagnosis of glioma in situ in real-time during patient surgery. The pathological examination results were used as the gold standard. Results The developed FL-CNN achieved the area under the curve (AUC) of 0.945. Comparing to neurosurgeons’ judgment, with the same level of specificity >80%, FL-CNN achieved a much higher sensitivity (93.8% versus 82.0%, P < 0.001) with zero time overhead. Further experiments demonstrated that FL-CNN corrected >70% of the errors made by neurosurgeons. FL-CNN was also able to rapidly predict grade and Ki-67 level (AUC 0.810 and 0.625) of tumor specimens intraoperatively. Conclusion Our study demonstrates that deep CNNs are better at capturing important information from fluorescence images than surgeons’ evaluation during patient surgery. FL-CNN is highly promising to provide pathological diagnosis intraoperatively and assist neurosurgeons to obtain maximum resection safely. Trial registration ChiCTR ChiCTR2000029402. Registered 29 January 2020, retrospectively registered

scholarly journals Recent development of nanoparticles for molecular imaging

2017 ◽  
Vol 375 (2107) ◽  
pp. 20170022 ◽  
Author(s):  
Jonghoon Kim ◽  
Nohyun Lee ◽  
Taeghwan Hyeon
Keyword(s):  
Surface Modification ◽  
Molecular Imaging ◽  
Contrast Agents ◽  
Multimodal Imaging ◽  
High Sensitivity ◽  
Accurate Diagnosis ◽  
Biological Processes ◽  
Future Perspectives ◽  
Cellular Functions ◽  
Diagnosis Of Diseases

Molecular imaging enables us to non-invasively visualize cellular functions and biological processes in living subjects, allowing accurate diagnosis of diseases at early stages. For successful molecular imaging, a suitable contrast agent with high sensitivity is required. To date, various nanoparticles have been developed as contrast agents for medical imaging modalities. In comparison with conventional probes, nanoparticles offer several advantages, including controllable physical properties, facile surface modification and long circulation time. In addition, they can be integrated with various combinations for multimodal imaging and therapy. In this opinion piece, we highlight recent advances and future perspectives of nanomaterials for molecular imaging. This article is part of the themed issue ‘Challenges for chemistry in molecular imaging’.

scholarly journals Vascular Fluorescence Imaging Control for Complex Renal Artery Aneurysm Repair Using Laparoscopic Nephrectomy and Autotransplantation

2014 ◽  
Vol 2014 ◽  
pp. 1-5
Author(s):  
Matteo Tozzi ◽  
Luigi Boni ◽  
Gabriele Soldini ◽  
Marco Franchin ◽  
Gabriele Piffaretti
Keyword(s):  
Indocyanine Green ◽  
Renal Artery ◽  
Fluorescence Imaging ◽  
Ex Vivo ◽  
Vascular Anatomy ◽  
Artery Aneurysm ◽  
Fluorescent Imaging ◽  
Renal Artery Aneurysm ◽  
Enhanced Fluorescence ◽  
Aneurysm Repair

Intraoperative fluorescent imaging using indocyanine green enables vascular surgeons to confirm the location and states of the reconstructed vessels during surgery. Complex renal artery aneurysm repair involving second order branch vessels has been performed with different techniques. We present a case of ex vivo repair and autotransplantation combining the advantages of minimally invasive surgery and indocyanine green enhanced fluorescence imaging to facilitate vascular anatomy recognition and visualization of organ reperfusion.

scholarly journals INDOCYANINE GREEN FLUORESCENCE IMAGING IN ROBOTIC SURGERY: STATE OF ART, TIPS AND TRICKS IN CURRENT APPLICATIONS

2021 ◽  
Vol 58 (1) ◽  
pp. 61-70
Author(s):  
Andre Luiz Gioia MORRELL ◽  
Alexander Charles MORRELL ◽  
Alexander Charles MORRELL-JUNIOR ◽  
Jose Mauricio MENDES ◽  
Francisco TUSTUMI ◽  
...  
Keyword(s):  
Indocyanine Green ◽  
Fluorescence Imaging ◽  
Fluorescent Imaging ◽  
Tips And Tricks ◽  
Green Fluorescence ◽  
Practical Applications ◽  
Indocyanine Green Fluorescence ◽  
Guided Surgery ◽  
Indocyanine Green Fluorescence Imaging ◽  
Practice Methods

ABSTRACT BACKGROUND: Fluorescent imaging with indocyanine green is an emerging technology whose benefits are put in perspective. OBJECTIVE: This article reports essential principles and approaches of intraoperative fluorescence in general surgery bringing familiarity to its practical usage. Our group describes possible pitfalls and provides tips and tricks for training surgeons making their attempts easier and reproducible during practice. METHODS: This study overviews the most structured concepts, practical applications and its tricks in robotic fluorescence guided imaging surgery with indocyanine green. Possible pitfalls are emphasized and emerging fields of application are put in a perspective. RESULTS: Guided information and practical applications in several surgical fields are described for a safe and reproducible indocyanine green fluorescence imaging use. CONCLUSION: Robotic assisted surgery combined to fluorescence imaging technology represents a logical evolution in image guided surgery and technology familiarity with guided information may represent a wider and safer spectrum of use in surgeons’ hands.

scholarly journals Development of Ultrasound-Switchable Fluorescence Imaging Contrast Agents Based on Thermosensitive Polymers and Nanoparticles

2014 ◽  
Vol 20 (3) ◽  
pp. 67-80 ◽  
Author(s):  
Bingbing Cheng ◽  
Ming-Yuan Wei ◽  
Yuan Liu ◽  
Harish Pitta ◽  
Zhiwei Xie ◽  
...  
Keyword(s):  
Contrast Agents ◽  
Fluorescence Imaging ◽  
Thermosensitive Polymers
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