Title

Real-time spectral unmixing photometry for high-precision measurement of multiple neural signals

Alternative Title

다중 신경 신호의 정밀 측정을 위한 실시간 스펙트럼 분리 광도측정법

DGIST Authors

Youngkwon Park ; Kwang Lee ; Yongseok Oh

Advisor

이광

Co-Advisor(s)

Yongseok Oh

Issued Date

2025

Awarded Date

2025-08-01

Type

Thesis

Description

Spectrometer-based photometry, dual-color recording, spectral unmixing, fluorescent calcium sensors, real-time regression algorithm

Table Of Contents

Ⅰ. Introduction 1
ⅠI. Methods 3
2.1 Animal 3
2.2 Surgical procedures 3
2.3 Behavioral task 4
2.4 Fiber photometry recording 4
2.5 Signal processing and data analysis 5
2.6 Immunohistochemistry 6
2.7 Quantification and Statistical Analysis 7
ⅠII. Results 9
3.1 Development of the Spectrometer-Based Fiber Photometry System 9
3.2 Optimized Excitation Power Prevents Photobleaching in Fiber Photometry 13
3.3 Comparison of Peak and AUC Methods for Fluorescence Signal Quantification 15
3.4 Emission Interference Validated In Vitro for Dual-Color Fiber Photometry 20
3.5 Spectral Characterization of Sensors Under Independent Expression 25
3.6 Correction of Spectral Crosstalk Using Ratio-Based Algorithm 30
ⅠV. Discussion 32
V. Reference 34
Abstract in Korean 38

URI

https://scholar.dgist.ac.kr/handle/20.500.11750/59805
http://dgist.dcollection.net/common/orgView/200000892039

DOI

10.22677/THESIS.200000892039

Degree

Master

Department

Department of Brain Sciences

Publisher

DGIST

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