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Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues

机译:极化引导的最佳质谱分析工作流程用于生物组织的离体和原位采样

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摘要

Spatially Targeted Mass Spectrometry (MS) analysis using survey scans with an imaging modality often requires consecutive tissue slices, because of the tissue damage during survey scan or due to incompatible sample preparation requirements between the survey modality and MS. We report two spatially targeted MS analysis workflows based on polarized light imaging guidance that use the same tissue sample for survey and targeted analysis. The first workflow is applicable for thin-slice analysis, and uses transmission-polarimetry-guided Desorption ElectroSpray Ionization Mass Spectrometry (DESI-MS), and confirmatory H&E histopathology analysis on the same slice; this is validated using quantitative digital pathology methods. The second workflow explores a polarimetry-guided MS platform for thick tissue assessment by developing reflection-mode polarimetric imaging coupled with a hand-held Picosecond InfraRed Laser (PIRL) MS ablation probe that requires minimal tissue removal to produce detectable signal. Tissue differentiation within 5–10 s of sampling with the hand-held probe is shown using multivariate statistical methods of the MS profiles. Both workflows were tasked with differentiating necrotic cancer sites from viable cancers using a breast tumour model, and their performance was evaluated. The use of the same tissue surface addresses mismatches in guidance due to intrinsic changes in tissue morphology over consecutive sections.
机译:使用具有成像模式的调查扫描的空间目标质谱(MS)分析通常需要连续的组织切片,这是因为调查扫描过程中组织受损或调查模式与MS之间的样品制备要求不兼容。我们报告了基于偏振光成像指导的两个空间目标MS分析工作流程,这些工作流程使用相同的组织样本进行调查和目标分析。第一个工作流程适用于薄片分析,并使用透射偏振法指导的解吸电喷雾电离质谱(DESI-MS)以及同一切片的H&E组织病理学验证分析;使用定量数字病理方法对此进行了验证。第二个工作流程通过开发反射模式偏振成像技术与手持式皮秒红外激光(PIRL)MS消融探针相结合,探索了用于厚组织评估的偏振引导MS平台,该手持式皮秒红外激光消融探针需要最少的组织去除才能产生可​​检测的信号。使用MS配置文件的多元统计方法显示了使用手持式探头采样后5-10s内的组织分化。两种工作流程的任务都是使用乳腺肿瘤模型将坏死性癌症部位与可行的癌症区分开,并评估其性能。使用相同的组织表面可解决由于连续切片组织形态发生内在变化而导致的指导不匹配问题。

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