Spinal cord injury (SCI) most commonly occurs at cervical levels, and such injuries typically impair breathing. Reproducible cervical SCI models which facilitate high resolution evaluation of the tissue response to the injury will aide in the development and testing of therapeutics to improve respiratory function. These models can be evaluated by anatomical assessment of injury lesions. However, tissue processing using traditional immunohistochemistry is limited by the ability of antibodies to penetrate deep within the tissue sample. To address these issues, we studied the PRISM+ mouse, a genetically modified mouse with fluorophores tagging the four major cell types of the central nervous system endogenously express fluorophores, thereby eliminating the need for immunochemistry procedures. In the genetically modified mouse, neurons express YFP (512ex/529em), microglia express GFP (488ex/509em), astrocytes express DsRed (554ex/586em), and oligodendrocytes express CFP (435ex/485em). PRISM+ mice received a mid‐cervical (C3) dorsal‐lateral crush injury and tissues were harvested 3 days later. Initial histological evaluation of the injured spinal cords confirm an absence of neurons in the lesioned dorsal cord, as expected. However, YFP‐positive motor neurons were prominent in the ventral cord. The ipsilesional dorsal quadrant was clearly observed to have increased GFP‐positive microglial infiltration and lack of CFP‐positive oligodendrocytes. At this 3‐day post‐injury time point we detected no astroglial scar, and in fact there were fewer DsRed‐positive astrocytes in immediate vicinity of the lesion as compared to the rest of the spinal cord. Importantly, the fluorophores were robustly detected in all four cell types, and this enabled reliable and automated analysis of the histological sections. These data indicate that the Prism+ mouse provides a useful model for studying the histological response to SCI.Support or Funding InformationThis work was sponsored by T32‐HD043730 (MDS), 1F32NS095620‐01 (KS), SPARC OT2 OD023854 (DDF). 1 R01 NS080180‐01A1 (DDF), the University of Florida Preeminent Initiative, and by the Defense Advanced Research Projects Agency (DARPA) Microsystems Technology Office (MTO), under the auspices of Dr. Jack W. Judy (jack.judy@darpa.mil) and Dr. Doug Weber (Douglas.Weber@darpa.mil) as part of the Reliable Neural Technology Program, through the Space and Naval Warfare Systems Command (SPAWAR) Systems Center (SSC) Pacific grant No. N66001‐11‐1‐4013.This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.