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. 2019 Feb 28;116(12):5344–5349. doi: 10.1073/pnas.1813255116

Fig. 2.

Fig. 2.

Linear stability analysis and numerical simulations of pattern formation in active biphasic tissues. (A) Phase diagram of Eq. 5 in the (KI/KA,Dm/D) parameter space for τ/(KAτA)=0.01 and τ/(KAτA)=0.1 (Inset). The red and blue dashed lines correspond to analytical thresholds of instability (given in the text) for Turing and Keller–Segel patterns, respectively. The black dashed line is the analytical phase boundary between both regimes in the limit KIKA given by χA=D/Dm+τ/(τAKA). This limit is shifted up when the ratio τ/τAKA is increased, while a pronounced notch appears in the “Keller–Segel patterns” domain (Inset). Other parameters are set to χA=0.25, χI=0, τI/(KAτA)=0.2, KAτAρ=1, ϕ*=0.85, and large tissue size (lA/l1). (B) One-dimensional numerical simulations of Eq. 5 with random initial conditions for several choices of parameters identified by letters A, B, C, and D. lA/l=0.1.