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Thus, we define our experimentally-measured crowding free energy for a given sensor as a mean energy penalty U , which can be predicted by weighting the FITC 1-D probability density P FITC by the crowding penalty U and integrating across all space: To describe P FITC , we invoke the continuous Gaussian chain model of a surface-tethered polymer of mean height h in an ideal solvent, calculating the chain-end distribution (see Supporting Information for calculations) 34

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