Extensive　research　efforts　have　been　made　toward　automating　the　microinjection　of　biological　cells　by　leveraging　micro-robotic　technologies.　However,　to　best　knowledge　of　the　authors,　there　is　no　report　on　the　automation　of　the　time-consuming　process:　moving　the　injection　tools　(a　micropipette,　a　grippers,　etc.)　and　cells　into　the　field　of　view　(FOV)　of　microscope　from　the　macro　FOV(outside　the　microscopic　FOV).　This　paper　presents　a　novel　macro-micro　conversion　strategy,　and　a　grid　detection　and　positioning　algorithm　to　automate　the　time-consuming　step　of　moving　the　injection　tools　and　cells　to　the　microscopic　FOV.　The　proposed　solution　can　free　the　technician　from　the　laborious　hand-eye　coordination　operations　for　moving　the　injection　tools　and　cells　to　the　target　position　within　the　microscopic　FOV.　Furthermore,　this　paper　proposes　an　auto-focusing　algorithm　to　automate　the　operation　step:　moving　down　the　gripper　from　the　air　outside　the　culture　media　and　then　precisely　clamping　a　cell　in　the　liquid　environment　for　injection.　In　the　proposed　solution,　the　active　window-based　auto-focusing　algorithm　is　developed　to　solve　the　challenging　problem:　the　image　information　is　lost　due　to　the　＇viscous　effect＇　taking　place　when　the　gripper　jaw　touches　the　water　surface.　The　proposed　solutions　are　tested　and　validated　by　the　microinjection　experiments　of　zebrafish　embryos　using　the　in-house　develop　micro-robotic　system.　The　technologies　and　strategies　proposed　in　this　paper　significantly　improve　the　automation　level　of　the　cell　microinjections,　and　can　be　easily　extended　to　any　other　micromanipulation　of　biological　cells.　©　2019　IEEE.