Microorganisms inhabit all ecosystems, with a massive abundance on Earth. Their interactions with other species and diverse environmental conditions affect their function and metabolic activities in their living ecosystems. Their metabolic products have been exploited in biotechnology and medicine since ancient civilizations. However, recent culture-independent methods like 16S rDNA and shotgun sequencing reveal that most microbial life remains underexplored, highlighting the need for standardized cultivation strategies to access their metabolic potential. Droplet microfluidics has transformed microbiology by enabling high-throughput, miniaturized studies from multiple cells down to the single-cell level. With these unique features, the technology overcomes the limitations of traditional cultivation methods like shake flasks and microtiter plates, which are low in throughput and challenging for single-cell investigations. In this dissertation, versatile droplet-based microfluidic workflows are developed, including a combinatorial sample preparation platform with fluorescence barcoding, machine learning analysis, and optofluidic droplet content assessment for multiplexed droplet production. An advanced picoliter droplet recovery process is also validated to support high-throughput screening campaigns. The combinatorial sample preparation platform has been utilized for two central questions. First, investigating bacterial responses to antibiotics at small population levels offers insights into resistance mechanisms that bulk assays cannot capture. Second, assessing soil microbial diversity through droplet culturomics, combined with sequencing, reveals how cultivation conditions influence the recovery of rare taxa and diversity. The presented dissertation opens up new avenues for microbiological research, thereby enhancing our understanding of microbial interactions and their impact on medicine and biotechnology.