Apply nonlinear optical microscopy to biodegradable materials and cancer diagnosis
Date Issued
2005
Date
2005
Author(s)
Lin, Tzu-Yu
DOI
zh-TW
Abstract
Multiphoton microscopy, which uses near infrared light as excitation light source,has deeper penetration depth, and automatic optical sectioning ability. It is a minimally
invasive bioimaging technique and can capable visible autofluorescences excitation. Thespecimens used for multiphoton microscopy need not be sliced and dyed, and the imagesobtained clearly displays cell morphology, collagen, and elastins. In this thesis, we apply
multiphoton and second harmonic generation microscopy to biodegradable materialimaging and to cancer diagnosis.
Part I: Biodegradable scaffolds and films
Tissue engineering brings new hope for tissue recovery and organ replication. One important aspect of tissue engineering is utilizing suitable biodegradable material as a scaffold. We observed in these biomaterial’s nonlinear optical properties. We found that most biodegradable materials emit blue light. Therefore, if the cell’s autofluorescence is weak, green or red fluorescence protein should be chosen to transfect
the cells.
Part II：Preliminary diagnosis of Normal and cancerous tissue
Nasopharynx is the concealed region where the pharynx and the nose intersect each other perpendicularly. Nasopharyngeal carcinoma(NPC) is a type of cancer peculiar to southeaster Chinese. The traditional method of diagnosing nasopharyngeal carcinoma is with histology, which can be time consuming to prepare.
We attempted to utilize multiphoton and second harmonic generation microscopy to distinguish normal nasopharyngeal cell from nasopharyngeal carcinomatous cell. We
find that multiphoton microscopy cannot effectively make the distinction. The reason is that naspharyngeal cells are numerous, and the cancer cells of NPC are mixed with the normal cells.
Kidney cancer (Renal cell carcinoma) is another cancer that threatens the health of Chinese people. In this case, we were able to use an index of second-harmonic generation
to autofluorescence and an intensity distribution diagram to distinguish the normal kidney tissue from cancerous kidney tissue.
Subjects
非線性光學
生物可降解性材料
癌症
nonlinear optics
biodegradable material
cancer
SDGs
Type
thesis