Abstract Disclosure: T. Kumar: None. R. Chauhan: None. B. Kalra: None. A.S. Patel: None. S. Chauhan: None. A. Kumar: None. Relevance: Dried Blood Spot (DBS) technology has not been widely implemented in the diagnostic industry due to its limitations in obtaining reliable, quantitative data from small blood samples. However, recent advancements in methods, i.e., sensitive antibodies, homogeneous and reproducible paper quality, and painless needles have renewed the interest in the DBS collection technique. Objective: The aim of the study is to validate the hormone measurements using DBS technology and compare the correlation matrix between AMH, LH, FSH, inhibin B, Antral Follicle Counts (AFC), age, and BMI in patients seeking infertility workup. Materials and Methods: Matched serum and DBS samples from thirty-nine patients between the ages of 18 and 45 years were collected on day 3 of the cycle. The subjects were visiting the clinic for initial fertility workup and subjects on medications for ovarian suppression were excluded. The samples were tested on Ansh Labs DBS AMH (AL-129), FSH (AL-187), and LH (AL-190), PCOCheck AMH (N-N terminus, AL-196), picoAMH (C-N terminus, AL-124-r), US Inhibin B (AL-195) ELISAs. Baseline AFC obtained via transvaginal ultrasound, BMI, and age were collected. Spearman’s correlations, and regression analysis using Passing and Bablok were calculated to examine the relationship between AFC, AMH, inhibin B, FSH LH, age, and BMI. Results: DBS samples were highly correlated to their matched serum specimens. The slope and Spearman’s rank correlation (rs) between matched serum and DBS specimens for AMH, FSH, and LH were 1.17x, 1.07x, 1.07x, and 0.98, 0.93, and 0.97, respectively. DBS AMH strongly correlated with AFC. The Spearman’s rank correlation (rs) between AFC and DBS AMH, DBS LH, and DBS FSH were 0.80, -0.11, and -0.31, respectively. A strong correlation was observed between age and AMH, LH and FSH. A weak correlation was observed between BMI and AMH, LH and FSH. The Spearman’s rank correlation (rs) between age and DBS AMH, LH, and FSH were -0.34, 0.28, and 0.25, respectively. DBS AMH, LH, and FSH correlation with BMI were -0.06, 0.05, and 0.09, respectively. Inhibin B had a strong correlation to age (rs -0.33), BMI (rs -0.67), AFC (rs 0.44), DBS AMH (rs 0.40), DBS FSH (rs -0.19), DBS LH (rs-0.11), respectively. AMH method comparison between N-N and N-C terminal ELISA using 39 serum samples yielded slopes of 0.85x and Spearman’s rank correlation of 0.97. Conclusions: DBS and serum measurements for AMH, LH, and FSH are very accurate and precise. They can be used interchangeably. The strong relationship between BMI and Inhibin B will require further investigation and may open new avenues in obesity and reproductive endocrinology. Presentation: 6/1/2024