A new independent study by Savita Brickman-Maxwell and Eugene Liscio has evaluated the accuracy of HemoVision’s new cast-off bloodstain pattern analysis feature. The paper represents the first dedicated validation study of HemoVision’s cast-off workflow and marks an exciting step forward for forensic BPA technology.
The study investigates HemoVision’s ability to estimate the swing path of a blood-bearing object based on cast-off bloodstain patterns. Cast-off patterns are created when blood is released from a moving object, such as a swinging weapon, and have historically been challenging to analyze in a practical and reproducible way.
According to the authors, HemoVision is currently the first practical software solution capable of estimating the curved swing path associated with cast-off patterns.
The researchers created 36 controlled cast-off patterns using a specially designed mechanical rig and analyzed the resulting stains using HemoVision’s beta cast-off feature. The study included downward, upward, diagonal, and blind trial scenarios to evaluate performance under different conditions.
The results demonstrated strong accuracy overall. Across the different trials, HemoVision was able to estimate the center of swing with average three-dimensional errors ranging from approximately 12 to 28 cm, while also generating a “Tubular Swing Path Envelope” (TSPE) that successfully identified the area through which the weapon traveled.
One particularly promising finding was that the estimated swing path overlapped with the true swing path in all tested cases. In half of the trials, the true swing path was fully contained within the estimated envelope.
The paper also highlights the efficiency of the HemoVision workflow. According to the authors, a complete cast-off analysis — including marker placement, photography, stain analysis, and trajectory estimation — could typically be completed within about one hour.
Importantly, the authors emphasize that this is a preliminary validation study and that further research is encouraged, particularly involving more complex human-generated cast-off patterns and challenging crime scene environments. Nevertheless, the study demonstrates strong potential for practical forensic applications and opens the door for future research into automated cast-off reconstruction.
We would like to sincerely thank Savita Brickman-Maxwell and Eugene Liscio for their important contribution to forensic science research and for helping advance the scientific validation of modern BPA tools.
You can read the full article here.
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A new independent study by Savita Brickman-Maxwell and Eugene Liscio has evaluated the accuracy of HemoVision’s new cast-off bloodstain pattern analysis feature. The paper represents the first dedicated validation study of HemoVision’s cast-off workflow and marks an exciting step forward for forensic BPA technology. The study investigates HemoVision’s ability to estimate the swing path of […]
