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. Author manuscript; available in PMC: 2021 Nov 1.
Published in final edited form as: Cancer Res. 2021 Mar 19;81(9):2534–2544. doi: 10.1158/0008-5472.CAN-20-3124

Figure 1. Flowchart of this framework.

Figure 1

Proposed computational pipeline for label-free profiling of the tumor microenvironment. Label-free nonlinear microscopy will be first converted to segmentation masks of various cell types and EVs through a DNN-based model. Subsequently, the characteristics of the cells and EVs can be profiled with the spatial interaction mapping, optical signature analysis, and morphometric measurements, thus enabling label-free deep profiling of the tumor microenvironment.