B ackground: Fully digital analysis of immunohistochemical images using bioimaging can help determine the diagnostic results of therapy. This diagnosis can improve the prognosis of cancer patients, determine the success rate of each stage of treatment, and help determine the next dose of medication for cancer patients. Normal tissue is researched as one embodiment of the algorithm discovered with registration number P00202110279 in the patent register. Aim: This study aims to obtain information regarding the immunohistochemical picture of nuclear and cytoplasmic P53 cells in normal tongue tissue of Sprague-Dawley rats, which can later be used to detect early the success of treatment, for example, chemotherapy, in individuals by assessing the amount of nuclear and cytoplasmic P53 cells in the tissue. Method: Analyzing immunohistochemical results of normal fully digital tongue tissue using a combination of color threshold components to distinguish brown, namely, thresholding method, threshold color, and color space with background contained in the ImageJ application. Results: The results of the analysis showed that the area of nuclear P53 expression was lower than cytoplasmic P53 with an average value of the amount of nuclear P53 expression per field of view ± 0.00002721 (SE = 0.000001405); average area of nuclear P53 expression per visual field area ± 0.3688 (SE = 0.07025); the average area of each nuclear P53 expression = 14425.600 (SE = 3144.84916). Meanwhile, the average number of cytoplasmic P53 expressions per field of view was ± 16.8042 (SE = 1.17416); the average area of cytoplasmic p53 expression per visual field area ± 63.4040 (SE = 4.46332); the average area of each cytoplasmic p53 expression is ± 5480.8000 (SE = 915.84791). Conclusion: Immunohistochemical image analysis regarding total, nuclear, and cytoplasmic P53 expression can be entirely digital using the ImageJ.