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Compared with short-lived emission probes featuring fluorescence imaging , the use of phosphorescent probes imparts the advantage of long-lived signal persistence that distinguishes against background fluorescence interference. However, the realization of ultralong organic phosphorescent (UOP) probes with an ultralong emission lifetime in an aqueous medium is still a challenge. Here, we present a rational strategy for obtaining UOP nanoparticles (NPs) in an air-saturated aqueous medium prepared using an organic phosphor (PDBCz) and a surfactant polymer (PVP), named PDBCz@PVP, showing an ultralong emission lifetime of 284.59 ms and a phosphorescence quantum efficiency of 7.6%. The excellent phosphorescence properties and water solubility of PDBCz@PVP make it a promising candidate for biological imaging. The as-prepared PDBCz@PVP NPs possess excellent luminescence intensity as well as illustrious biocompatibility both in vitro and in vivo. We demonstrate their use as an efficient phosphorescent nanoprobe both in living cells and zebrafish by capturing their afterglow emission signals under microscopy observation for the first time, realizing convenient and fast bioimaging with low cost, which allows for anti-fluorescence interference and shows promise for the future theragnostic applications in nanomedicine.

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This paper investigates the outage performance of simultaneous wireless information and power transfer (SWIPT) in network-coded two-way relay systems, where a relay first harvests energy from the signals transmitted by two sources and then uses the harvested energy to forward the received information to the two sources. We consider two transmission protocols, power splitting two-way relay (PS-TWR) and time switching two-way relay (TS-TWR) protocols. We present two explicit expressions for the system outage probability of the two protocols and further derive approximate expressions for them in high and low SNR cases. To explore the system performance limits, two optimization problems are formulated to minimize the system outage probability. Since the problems are nonconvex and have no known solution methods, a genetic algorithm- (GA-) based algorithm is designed. Numerical and simulation results validate our theoretical analysis. It is shown that, by jointly optimizing the time assignment and SWIPT receiver parameters, a great performance gain can be achieved for both PS-TWR and TS-TWR. Moreover, the optimized PS-TWR always outperforms the optimized TS-TWR in terms of outage performance. Additionally, the effects of parameters including relay location and transmit powers are also discussed, which provide some insights for the SWIPT-enabled two-way relay networks.