Comparing and Correcting Spectral Sensitivities between Multispectral Microscopes: A Prerequisite to Clinical Implementation

Author:

Eminizer Margaret12ORCID,Nagy Melinda12,Engle Elizabeth L.345ORCID,Soto-Diaz Sigfredo345ORCID,Jorquera Andrew345,Roskes Jeffrey S.12ORCID,Green Benjamin F.34,Wilton Richard12ORCID,Taube Janis M.34567ORCID,Szalay Alexander S.12458ORCID

Affiliation:

1. Department of Physics and Astronomy, Johns Hopkins University, Baltimore, MD 21210, USA

2. Institute for Data Intensive Engineering and Science, Johns Hopkins University, Baltimore, MD 21210, USA

3. Department of Dermatology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA

4. Bloomberg-Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA

5. Mark Foundation Center for Advanced Genomics and Imaging, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA

6. Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA

7. Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA

8. Department of Computer Science, Johns Hopkins University, Baltimore, MD 21210, USA

Abstract

Multispectral, multiplex immunofluorescence (mIF) microscopy has been used to great effect in research to identify cellular co-expression profiles and spatial relationships within tissue, providing a myriad of diagnostic advantages. As these technologies mature, it is essential that image data from mIF microscopes is reproducible and standardizable across devices. We sought to characterize and correct differences in illumination intensity and spectral sensitivity between three multispectral microscopes. We scanned eight melanoma tissue samples twice on each microscope and calculated their average tissue region flux intensities. We found a baseline average standard deviation of 29.9% across all microscopes, scans, and samples, which was reduced to 13.9% after applying sample-specific corrections accounting for differences in the tissue shown on each slide. We used a basic calibration model to correct sample- and microscope-specific effects on overall brightness and relative brightness as a function of the image layer. We tested the generalizability of the calibration procedure and found that applying corrections to independent validation subsets of the samples reduced the variation to 2.9 ± 0.03%. Variations in the unmixed marker expressions were reduced from 15.8% to 4.4% by correcting the raw images to a single reference microscope. Our findings show that mIF microscopes can be standardized for use in clinical pathology laboratories using a relatively simple correction model.

Funder

Melanoma Research Alliance

NIH UH2:UH3

The Mark Foundation for Cancer Research

Bloomberg Kimmel Institute for Cancer Immunotherapy

Publisher

MDPI AG

Subject

Cancer Research,Oncology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3