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We fabricated a 256×256 electrode prototype on a glass substrate using standard photolithography. Electrodes were coated with 200 nm Si₃N₄ to prevent electrolysis. Fluidic layer was PDMS molded from a SU-8 master. leapcell
High-speed fluorescence microscopy (1000 fps) recorded each leap. Outcome metrics: leap success rate (cell reaches target), return accuracy (distance from origin), viability (30 min post-leap), and calcium flux (as functional readout). For teams moving toward a high-performance architecture ,
Each "leap" cycle lasted 250 ms: 50 ms trapping, 150 ms hopping (max distance 30 electrodes), 50 ms chemical exposure (5 µM ionomycin). Cells were returned immediately. Control cells remained static. Electrodes were coated with 200 nm Si₃N₄ to
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The increasing demand for real-time cellular analysis and intervention has exposed critical bottlenecks in conventional microfluidic and cell culture platforms. This paper introduces , a novel microfluidic-cellular interface architecture that enables non-linear, "leapfrog" modulation of individual cells within high-density arrays. Unlike static perfusion systems or droplet-based encapsulation, LeapCell integrates three core innovations: (1) a reconfigurable electrode grid for dielectrophoretic (DEP) cell hopping, (2) adaptive environmental micro-pockets that change composition in milliseconds, and (3) an embedded machine learning control loop for predictive cellular state switching. We demonstrate that LeapCell can selectively isolate, stimulate, and return target cells to a community without disrupting neighbors, achieving a 400x increase in temporal resolution over traditional valve-based traps. Applications include single-cell lineage tracing under fluctuating drug doses, synthetic consortia programming, and high-speed phenotypic screening. We conclude with a discussion of fabrication challenges, data bandwidth limits, and ethical implications of autonomous cellular manipulation.
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