Using Computer-based Image Analysis to Improve Quantification of Lung Metastasis in the 4T1 Breast Cancer Model

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Цитируется: 4

08:32 мин.

2 октября 2020 г.

10.3791/61805-v

2 октября 2020 г.

750 просмотров

Margaret A. Nagai-Singer¹ , Alissa Hendricks-Wenger¹^,²^,³ , Rebecca M. Brock¹^,² , Holly A. Morrison¹ , Juselyn D. Tupik¹ , Sheryl Coutermarsh-Ott¹ , Irving C. Allen¹^,²^,⁴

¹Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, ²Graduate Program in Translational Biology, Medicine and Health, Virginia Polytechnic Institute and State University, ³Department of Biomedical Engineering and Mechanics, Virginia Polytechnic Institute and State University, ⁴Department of Basic Science Education, Virginia Tech Carilion School of Medicine, Virginia Polytechnic Institute and State University

We describe a more consistent and expeditious method to quantify lung metastasis in the 4T1 breast cancer model by using Fiji-ImageJ.

Больше видео

Lung Metastasis Quantification

4T1 Breast Cancer Model

Fiji ImageJ Analysis

Methylene Blue Staining

Metastatic Burden Measurement

Tissue Culture Plate Analysis

Colony Counting Automation

Image Thresholding Method

Metastasis Detection Protocol

Chapters in this video

0:04

Introduction

0:51

Processing Tissues

2:49

Staining Plates

4:01

Image Analysis

6:26

Results: Fiji-ImageJ Analysis is Accurate and Precise in Determining Metastatic Burden

8:04

Conclusion