Abstract Digital Light Processing (DLP) technology has significantly advanced various applications, including 3D bioprinting, through its precision and speed in creating detailed structures. While traditional DLP systems rely on light-emitting diodes (LEDs), their limited power spectral density, high etendue, and spectral inefficiency constrain their performance in resolution, dynamic range, printing time, and cell viability. This study proposes and evaluates a dual-laser DLP system to overcome these limitations and enhance bioprinting performance. The proposed dual-laser system resulted in a twofold increase in resolution and a twelvefold reduction in printing time compared to the LED system. The system's capability was evaluated by printing three distinct designs, achieving a maximum percentage error of 1.16% and a minimum of 0.02% in accurately reproducing complex structures. Further, the impact of exposure times (10-30 s) and light intensities (0.044-0.11 mW/mm2) on the viability and morphology of 3T3 fibroblasts in GelMA and GelMA-PEGDA hydrogels is assessed. The findings reveal a clear relationship between longer exposure times and reduced cell viability. On day 7, samples exposed for extended periods exhibited the lowest metabolic activity and cell density, with differences of ~40% between treatments. However, all samples show recovery by day 7, with GelMA samples exhibiting up to a sixfold increase in metabolic activity and GelMA-PEGDA samples showing up to a twofold increase. In contrast, light intensity variations had a lesser effect, with a maximum variation of 15% in cell viability. We introduced a segmented printing method to mitigate over-crosslinking and enhance the dynamic range, utilizing an adaptive segmentation control strategy. This method, demonstrated by printing a bronchial model with a 14.43x compression ratio, improved resolution and maintained cell viability up to 90% for GelMA and 85% for GelMA-PEGDA during 7 days of culture. The proposed dual-laser system and adaptive segmentation method were confirmed through successful prints with diverse bio-inks and complex structures, underscoring its advantages over traditional LED systems in advancing 3D bioprinting.