At present, the administration of chemotherapy drugs is largely based on physician experience and clinical guidelines. Clearly, a personalized solution would significantly benefit patients in the improvement of clinical outcomes. In this work, we used a spectroscopic approach in which a water-soluble tetrazolium salt (WST-8) assay was applied to patient-derived slice organoids. WST-8 would react with intracellular dehydrogenase resulting in the formation of formazan dye. The absorption at 450nm can be used to assess the viability of the organoids 5 days after initiation of organoid culture. With additional development, this approach may be used to improve the clinical outcome of patients undergoing chemotherapy.
In this work we investigated how changing the labeling construct of porcine liver tissue enhances labeling speed. Our results show that bi-directional labeling can indeed reduce labeling time with respect to the standard uni-directional labeling.
This work illustrates how tumor proportional score is estimated using object detection method YOLO and compared with a pathologist's calculation. Results show deep learning can achieve good results and be used on clinical applications.
At the present, identifying head and neck squamous cell carcinoma (HNSCC) patients for immune checkpoint inhibitor therapy (ICIT) is achieved through the determination of Tumor Proportion Score (TPS) or the percentage of tumor cells positively labeled for PD-L1. Estimation of TPS is largely done in a manual fashion by a trained pathologist. In the case of HNSCC, the histological section can be over 1 cm in size in which over 100,000 cancer cells need to be evaluated for PD-L1 expression. To expedite the TPS evaluation process for such large specimens, we have developed a platform in which artificial intelligence (AI) is used for TPS determination. With additional development, this approach may be used in the clinical setting to assist pathologists in TPS evaluation.
In this study, the efficiency of uni- and bi-directional molecular diffusion in porcine liver tissue sections was studied. Tissue sections on the order of a few hundred microns in thickness were used. We found that bi-directional diffusion is more efficient in delivering probe molecules. Therefore, bi-directional labeling is useful in visualizing tissue architecture in three-dimensions.
In this work, we investigated the effect of formaldehyde-induced autofluorescence using multiphoton and confocal microscopy. Porcine aorta, brain, kidney, and ventricle were processed, sliced, and immersed in 10% neutral buffered formalin at ambient temperature for different length of time. Our preliminary results show that the inducedautofluorescence in brain and ventricle tissue increases through time, whereas for aorta and kidney it remains nearly the same.
Since tumor doubling time of head and neck squamous cell carcinoma (HNSCC) is on the order of 100 days, prescribing the most effective treatment for HNSCC patients is of great benefit to the patients. In this work, we describe the use of precisely cut tumor slices on the order of 200 mm in thickness for testing the effect of chemotherapy drugs. Both spectroscopic and microscopic imaging were used to analyze treatment efficacy. Overall, viability of tumor slices decreases with increased drug concentration although within the same patient, drug response varies among different tumor slices. With additional development, this approach may be used to predict treatment of chemotherapy and immunotherapy response for personalized medicine.
Rapid and in-depth labeling biological tissue samples is invaluable for studying tissue organization in three-dimensions. The current strategy in finding optimal labeling parameters for dye molecules through tissues often requires trial and error testing. Difficulty in establishing a standard approach is due to lack of information on the diffusion parameters of dye through tissues. In this study, we investigate the temporal progression of dye penetration in different tissue types. By the combination of multiphoton imaging of labeled tissues and application of the theoretical model of diffusion with well-defined boundary conditions, we aim to arrive at systematic parameters for optimizing dye penetration. Determination of the effective diffusion coefficient of the dyes used will then be useful for further application.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.