Mitochondria are recognized as the ideal target for cancer treatment because they play a central role in oxidative metabolism and apoptosis. In this work, a mitochondria‐targeted near‐infrared (NIR) photosensitizer (PS) for synchronous cancer photodynamic therapy (PDT) and photothermal therapy (PTT) is synthesized. This multifunctional small‐molecule PS is developed from a variety of synthesized heptamethine cyanine dyes, which are modified with various N‐alkyl side chains on the lipophilic cationic heptamethine core. It is demonstrated to preferentially accumulate in cancer cells by organic‐anion transporting polypeptide mediated active transport and retain in mitochondria by its lipophilic cationic property. As mitochondria are susceptible to hyperthermia and excessive reactive oxygen species, this new PS integrating PTT and PDT treatment exhibits highly efficient phototherapy in multiple cancer cells and animal xenograft models. Furthermore, this targeted PS with NIR imaging property also enables tumors and their margins clearly visualized, providing the potential for precisely imaging‐guided phototherapy and treatment monitoring. This is the first report that a small‐molecule PS integrates both cancer PTT and PDT treatment by targeting mitochondria, significantly increasing the photosensitization. This work may also present a practicable strategy to develop small‐molecule‐based cancer theranostic agents for simultaneous cancer targeting, imaging, and therapy.

When measuring thresholds, careful selection of stimulus amplitude can increase efficiency by increasing the precision of psychometric fit parameters (e.g., decreasing the fit parameter error bars). To find efficient adaptive algorithms for psychometric threshold (“sigma”) estimation, we combined analytic approaches, Monte Carlo simulations and human experiments for a one-interval, binary forced-choice, direction-recognition task. To our knowledge, this is the first time analytic results have been combined and compared with either simulation or human results. Human performance was consistent with theory and not significantly different from simulation predictions. Our analytic approach provides a bound on efficiency, which we compared against the efficiency of standard staircase algorithms, a modified staircase algorithm with asymmetric step sizes, and a maximum likelihood estimation (MLE) procedure. Simulation results suggest that optimal efficiency at determining threshold is provided by the MLE procedure targeting a fraction correct level of 0.92, an asymmetric 4-down, 1-up (4D1U) staircase targeting between 0.86 and 0.92 or a standard 6D1U staircase. Psychometric test efficiency, computed by comparing simulation and analytic results, was between 41%–58% for 50 trials for these three algorithms, reaching up to 84% for 200 trials. These approaches were 13%–21% more efficient than the commonly-used 3D1U symmetric staircase. We also applied recent advances to reduce accuracy errors using a bias-reduced fitting approach. Taken together, the results lend confidence that the assumptions underlying each approach are reasonable, and that human threshold forced-choice decision-making is modeled well by detection-theory models and mimics simulations based on detection theory models.

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