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MATLAB활용 생 세포내 Real-Time 형광 신호 조사를 위한 이미지 분석 플랫폼 : MATtrack


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MATLAB활용 생 세포내 Real-Time 형광 신호 조사를 위한 이미지 분석 플랫폼 : MATtrack

Jane Courtney, Elena Woods, Dimitri Scholz, William W. Hall, Virginie W. Gautier 저 | 아진

출간일
2020-07-12
파일형태
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12 M
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보유1, 대출0, 예약중0
콘텐츠 소개
목차
한줄서평

콘텐츠 소개

We introduce here MATtrack, an open source MATLAB-based computational
platform developed to process multi-Tiff files produced by a photo-conversion time
lapse protocol for live cell fluorescent microscopy. MATtrack automatically performs
a series of steps required for image processing, including extraction and import of
numerical values from Multi-Tiff files, red/green image classification using gating
parameters, noise filtering, background extraction, contrast stretching and temporal
smoothing. MATtrack also integrates a series of algorithms for quantitative image
analysis enabling the construction of mean and standard deviation images,
clustering and classification of subcellular regions and injection point
approximation. In addition, MATtrack features a simple user interface, which
enables monitoring of Fluorescent Signal Intensity in multiple Regions of Interest,
over time. The latter encapsulates a region growing method to automatically
delineate the contours of Regions of Interest selected by the user, and performs
background and regional Average Fluorescence Tracking, and automatic plotting.
Finally, MATtrack computes convenient visualization and exploration tools including
a migration map, which provides an overview of the protein intracellular
trajectories and accumulation areas. In conclusion, MATtrack is an open source
MATLAB-based software package tailored to facilitate the analysis and
visualization of large data files derived from real-time live cell fluorescent
microscopy using photoconvertible proteins. It is flexible, user friendly, compatible
with Windows, Mac, and Linux, and a wide range of data acquisition software.
MATtrack is freely available for download at eleceng.dit.ie/courtney/MATtrack.zip.

목차

제 1편 : MATLAB 기본편
1. MATLAB 기본사용편 ···················· 003
1.1 MATLAB 시작하기 ·························· 003
명령창(command Window)에서의 입력 005
도움말(Help)의 이용 ······························· 007
1.2 입력 오류의 수정 ····························· 008
계산의 중지 ·············································· 009
MATLAB 종료하기 ································· 009
1.3 연산과 변수의 할당 ·························· 009
연산자 우선순위 ······································· 011
내장함수 ···················································· 012
1.4 데이터의 표현 ··································· 013
1.5 변수의 처리 ······································· 015
변수 이름 ·················································· 015
clear 명령어 ············································· 016
특수변수와 정수 ······································· 017
whos 명령어 ············································ 017
1.6 벡터와 행렬 ······································· 018
벡터 ··························································· 018
행렬 ·························································· 023
스크린 출력과 억제 ································· 024
1.7 랜덤(Random)수와 복소수 ·············· 025
랜덤 수 ····················································· 025
복소수 ······················································· 027
1.8 기호를 이용한 연산 ·························· 028
기호식에서의 치환 ··································· 029
1.9 코드 파일 ·········································· 030
스크립트 코드 파일 ································· 030
코멘트의 추가 ·········································· 032
함수 코드 파일 ···································· 033
사용자 정의함수 ······································ 036
1.10 간단한 그래프의 생성 ····················· 037
ezplot을 이용한 그래프 ·························· 037
plot을 이용한 그래프 ·························· 039
3차원 그래프 ··········································· 042
1.11 MATLAB과 엑셀(Excel)의 접속 043 엑셀 데이터 불러오기 ····························· 043
데이터 가져오기 옵션 ························· 046
스크립트 생성 옵션 ································· 049
함수 생성 옵션 ········································ 049
생성된 데이터를 엑셀파일로 저장하기 ·· 050

제 2편 : 연구논문
MATtrack: A MATLAB-Based Quantitative Image Analysis Platform for
Investigating Real-Time Photo-Converted Fluorescent Signals in Live
Cells

1. Introduction 52
2. Materials and Methods 53
3. Results and Discussion 53
4. Image Processing 55
5. Application 59
6. Conclusion 62
7. References 63

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