This work proposes developing a water-soluble-chlorophyll-binding protein (WSCP) from Chenopodium album plant species (CaWSCP) as a contrast agent for cancer targeting with photoacoustic (PA) imaging. CaWSCP exhibits red-shifted absorption, good solubility, and photoconvertible properties that can generate enhanced contrast images while integrated SpyTag and SpyCatcher system enables active targeting of cancer cells. In vitro and in vivo experiments demonstrate the non-cytotoxic nature of WSCP and validate the efficacy of the SpyTag-SpyCatcher system for cancer cell targeting. Moreover, in vivo imaging confirm the contrast-enhancing capability of CaWSCP, positioning it as a promising candidate for PA imaging in cancer diagnostics.
Photoacoustic tomography (PAT) is a promising hybrid imaging technique with clinical potential, but it faces challenges due to limited-view reconstruction. This research develops a deep learning-based approach using a multi-view imaging system and a Uformer network to reconstruct high-resolution images from limited-angle input data. The results show state-of-the-art performance compared to conventional restoration models, highlighting the potential of this method for improving PAT in clinical settings. This novel strategy helps overcome limited-data challenges and contributes to the development of innovative imaging solutions for clinical applications.
This work introduces a total-peptide-based contrast agent for deep-tissue photoacoustic imaging, addressing the limitations of conventional imaging techniques. Chlorophyll a (Chla) was selected for its light-harvesting ability and solubilized using the Leipidium virginicum water-soluble chlorophyll-binding protein (LvP). LvP-chla enables clear visualization in vivo, discernible from the blood via spectroscopic PA imaging. LvP-chla showed promise as a favorable candidate for clinical photoacoustic imaging applications.
KEYWORDS: Miniaturization, Imaging systems, In vivo imaging, Ear, Light sources, Biological imaging, Signal to noise ratio, Microelectromechanical systems, Biomedical optics, Signal detection
SignificancePhotoacoustic microscopy (PAM) is a promising imaging technique to provide structural, functional, and molecular information for preclinical and clinical studies. However, expensive and bulky lasers and motorized stages have limited the broad applications of conventional PAM systems. A recent trend is to use low-cost light sources and miniaturized designs to develop a compact PAM system and expand its applications from benchtop to bedside.AimWe provide (1) an overview of PAM systems and their limitations, (2) a comprehensive review of PAM systems with low-cost light sources and their applications, (3) a comprehensive review of PAM systems with miniaturized and handheld scanning designs, and (4) perspective applications and a summary of the cost-effective and miniaturized PAM systems.ApproachPapers published before July 2023 in the area of using low-cost light sources and miniaturized designs in PAM were reviewed. They were categorized into two main parts: (1) low-cost light sources and (2) miniaturized or handheld designs. The first part was classified into two subtypes: pulsed laser diode and continuous-wave laser diode. The second part was also classified into two subtypes: galvanometer scanner and micro-electro-mechanical system scanner.ResultsSignificant progress has been made in the development of PAM systems based on low-cost and compact light sources as well as miniaturized and handheld designs.ConclusionsThe review highlights the potential of these advancements to revolutionize PAM technology, making it more accessible and practical for various applications in preclinical studies, clinical practice, and long-term monitoring.
This conference presentation was prepared for the Optical Diagnostics and Sensing XXIII: Toward Point-of-Care Diagnostics conference at SPIE BiOS, 2023.
Optical-resolution photoacoustic microscopy (OR-PAM) is a label-free and non-invasive technique for imaging blood vessel and hemoglobin oxygen saturation (sO2) of living animals in vivo, providing functional information for disease diagnosis. However, most state-of-the-art OR-PAM systems require bulky and costly pulsed lasers, which hinders their wide applications in clinical settings. Here, a reflection-mode low-cost photoacoustic microscopy system using two laser diodes (LDs) was developed for in-vivo microvasculature and sO2 imaging with a high resolution of ~6 μm. The sO2 measurement is validated in both blood phantom and in vivo animal experiments. The phantom study shows that our system has a strong linear relationship with the preset sO2 (R 2 = 0.96). The in-vivo experiment of mouse ear imaging demonstrated that our system can achieve high-resolution and high-quality imaging of microvasculature and sO2. This technical advancement in cost reduction and superior imaging performance promotes the fast and wide applications of PAM in biomedical fields.
Lung cancer is one of the leading causes of cancer mortality worldwide, with an estimated 2.2 million new cancer cases and 1.8 million deaths in 2020. Adenocarcinoma is the most common type of non-small cell lung cancer (NSCLC), which is usually developed with a mixture of histologic subtypes. Surgery to remove the affected tissue or tumor is the most curative treatment option for the early-stage NSCLC currently. The clinical diagnosis of NSCLC based on pathological analysis of formalin-fixed and paraffin-embedded (FFPE) tissues is laborious and time-consuming, failing to guide surgeons intraoperatively. Although frozen section can serve as a rapid alternative to FFPE histology, it still requires a turnaround time of 20–30 minutes during surgery. Besides, the diagnostic accuracy of the frozen section could be affected due to the tissue freezing artifacts and inadequate sampling of resection margins. Here, we propose a rapid histological imaging method, termed microscopy with ultraviolet single-plane illumination (MUSI), which enables label-free and non-destructive imaging of freshly excised and unprocessed tissues. The MUSI system allows the surgical specimens with large irregular surfaces to be scanned in a label-free manner at a speed of 0.65 mm2/s with a subcellular resolution, showing great potential as an assistive imaging platform that can provide immediate feedback to surgeons and pathologists for intraoperative decision-making. We demonstrate that MUSI can differentiate between different subtypes of human lung adenocarcinomas, revealing diagnostically important features that are comparable to the gold standard FFPE histology, holding great promise to revolutionize the current practice of surgical pathology.
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