Continuous-flow　microfluidic　biochips　(CFMBs)　automatically　execute　various　bioassays　by　precisely　controlling　the　transport　of　fluid　samples,　which　is　driven　by　pressure　delivered　through　fluidic　ports.　High-level　synthesis,　as　an　important　stage　in　the　design　flow　of　CFMBs,　generates　binding　and　scheduling　solutions　whose　quality　directly　affects　the　efficiency　of　the　execution　of　bioassays.　Existing　high-level　synthesis　methods　perform　numerous　transport　tasks　concurrently　to　increase　efficiency.　However,　fluidic　ports　cannot　be　shared　between　concurrently　executing　transport　tasks,　resulting　in　a　large　number　of　fluidic　ports　introduced　by　existing　methods.　Increasing　the　number　of　fluidic　ports　undermines　the　integration,　reduces　the　reliability,　and　increases　the　manufacturing　cost.　In　this　paper,　we　propose　a　port-driven　high-level　synthesis　method　based　on　integer　linear　programming　(ILP)　called　SlimPort,　integrating　the　optimization　of　fluidic　port　number　into　high-level　synthesis,　which　has　never　been　considered　in　prior　work.　Meanwhile,　to　ensure　bioassay　correctness,　volume　management　between　devices　with　a　non-fixed　input/output　ratio　is　realized.　Additionally,　two　acceleration　strategies　for　ILP,　scheduling　constraint　reduction　and　upper　boundary　estimation　of　fluidic　port　number,　are　proposed　to　improve　the　efficiency　of　SlimPort.　Experimental　results　from　multiple　benchmarks　demonstrate　that　SlimPort　leads　to　high　assay　execution　efficiency　and　a　low　number　of　fluidic　ports.