In a development that could reshape how scientists study the mechanics of human movement, a team of biomedical engineers and computer scientists has unveiled an open-source software tool capable of tracking the tiny, intricate bones of the wrist as they glide and rotate during motion. The new tool, called Hierarchical 3D Registration, or 3DH, is a module within the SlicerAutoscoperM extension of the widely used 3DSlicer computing environment. Described in a study published in BioMedical Engineering OnLine, the software was validated against previously established methods using both sequential three-dimensional computed tomography, or 3DCT, scans of living participants performing thumb tasks and dynamic four-dimensional CT, or 4DCT, images of cadaveric wrists moving through flexion and extension. The results demonstrate that the open-source approach can match the accuracy of independent, previously published methodologies while offering researchers everywhere a free and reproducible path to quantifying skeletal kinematics.

The wrist has long been one of the most challenging joints for biomechanists to study. It contains eight small carpal bones, including the scaphoid and lunate, along with the radius of the forearm and the metacarpal bones of the hand, all articulating in a tightly packed arrangement that allows the remarkable range of motion humans rely on every day. Understanding how these bones move relative to one another, a field of study known as arthrokinematics, is essential for unraveling the causes of wrist instability, osteoarthritis, ligament injuries and the long-term outcomes of surgical repairs. Yet measuring those movements in living, moving joints has historically required either invasive techniques, labor-intensive manual analysis or proprietary software that few laboratories can access or verify.

Quantitative tracking of skeletal structures in vivo, with both efficiency and high temporal resolution, matters to a wide range of questions in biomechanical research, and the authors of the new study argue that the field has been held back by a shortage of accessible, semi-automated registration tools. Image registration, the computational process of aligning one three-dimensional image volume to another, lies at the heart of motion tracking from CT data. When a bone moves between two scans, its position and orientation change, and a registration algorithm must find the transformation that best overlays the bone’s image from one time point onto the next. Done well, this yields precise measurements of rotation and translation. Done poorly or inconsistently, it introduces errors that can swamp the small movements of carpal bones, which may shift by only a few millimeters and a few degrees during normal function.

The new 3DH module addresses this problem with a hierarchical strategy for registering bones across sequences of image volumes. The researchers presented and evaluated the software using two distinct classes of data drawn from previous studies. The first consisted of sequential 3DCT datasets of human participants performing various thumb tasks, in which the radius, the first metacarpal and the trapezium were the target bones. The second consisted of dynamic 4DCT datasets capturing simulated flexion-extension motion in cadaveric wrists, providing time-resolved, three-dimensional image volumes of the scaphoid and lunate in motion. By testing the tool on both static sequential scans and true dynamic imaging, the team was able to demonstrate that 3DH is not limited to a single imaging paradigm but can serve as a unified tracking solution across modalities.

To determine whether the new open-source tool could be trusted, the investigators compared the arthrokinematics computed with 3DH against values that had been previously calculated using independent approaches for the same 3DCT and 4DCT datasets. The statistical framework for this comparison was the Bland-Altman analysis, a standard method for assessing agreement between two measurement techniques. Rather than simply correlating the two sets of results, Bland-Altman analysis quantifies the mean bias, the systematic difference between methods, and the 95 percent limits of agreement, the range within which most individual differences between the methods are expected to fall. This approach is particularly well suited to method-comparison studies because it reveals whether a new technique introduces systematic error and how widely individual measurements might deviate from those of the established gold standard.

The performance figures reported in the study are striking. For the 3DCT data, in which the radius, first metacarpal and trapezium were tracked, the mean bias for the helical angle, a single-axis description of three-dimensional rotation, was just minus 0.06 degrees, with 95 percent limits of agreement ranging between minus 1.87 degrees and 1.74 degrees. Translation measurements fared nearly as well: the mean bias was 0.12 millimeters, with limits of agreement spanning from minus 2.23 millimeters to 2.00 millimeters. In practical terms, the open-source tool reproduced the rotational and translational measurements of the earlier methods to within roughly two degrees and two millimeters at the extremes, differences small enough to preserve the biological signal in most wrist kinematics experiments.

The dynamic 4DCT results told a similar story for the carpal bones. Tracking the scaphoid and lunate through simulated flexion-extension, 3DH produced mean biases of the Euler angle rotations, which decompose three-dimensional rotation into three orthogonal components, of less than 0.77 degrees about any direction. The widest 95 percent limits of agreement ranged between minus 7.11 degrees and 8.65 degrees. For translations, mean biases were less than 0.5 millimeters in any direction, with the widest limits of agreement ranging between minus 2.36 millimeters and 1.43 millimeters. The wider limits of agreement for rotations in the dynamic data likely reflect the added challenges of time-resolved imaging, including motion blur and the smaller, more complexly shaped carpal bones, but the near-zero mean biases indicate that the tool does not systematically drift away from established values.

Crucially, all target bones were successfully tracked in both the 3DCT and 4DCT datasets, meaning the hierarchical registration algorithm converged on correct solutions in every case tested. This robustness matters because registration algorithms can occasionally fail, locking onto incorrect alignments or diverging entirely, and such failures typically demand time-consuming manual intervention. A semi-automated tool that reliably succeeds across diverse bones, motion tasks and imaging protocols removes a significant bottleneck. Manual bone tracking in CT volume sequences can take hours per bone per trial, and the labor multiplies rapidly in studies involving multiple participants, multiple bones and dozens of motion cycles. By automating this process within a validated framework, 3DH promises to accelerate the pace at which wrist biomechanics data can be collected and analyzed.

The choice to build the module inside 3DSlicer, and specifically within the SlicerAutoscoperM extension, is a deliberate strategic decision with implications well beyond the wrist. 3DSlicer is a free, open-source platform for medical image computing and visualization with a large international user base spanning research, clinical and educational communities. By embedding 3DH in this ecosystem, the developers have made the tool immediately available to any laboratory already working with 3DSlicer, complete with the platform’s established infrastructure for loading DICOM data, segmenting anatomical structures and visualizing results. The authors note that the ability to track bones from both 3DCT and 4DCT data sources, with agreement to prior methodologies, demonstrates that the 3DH approach is a capable tool that could promote collaboration and consistency of results through open-source software.

Consistency is a quietly urgent issue in biomechanics. When different laboratories use different proprietary tools with undisclosed algorithms, it becomes difficult to distinguish true biological differences between study populations from mere methodological discrepancies. Open-source registration changes that calculus: the code can be inspected, verified, extended and reused, and results from different institutions become directly comparable because they are produced by identical algorithms. This transparency also lowers the barrier to entry for research groups in settings that cannot afford commercial licenses, potentially broadening the global community capable of conducting rigorous skeletal kinematics research.

The study itself emerged from a collaboration spanning several institutions. The team included Joseph J. Crisco, Amy M. Morton and John D. Holtgrewe of the Department of Orthopedics at The Warren Alpert Medical School of Brown University and Rhode Island Hospital; Cesar Lopez, Andrew Thoreson and Kristin D. Zhao of the Assistive and Restorative Technology Laboratory and the Department of Physical Medicine and Rehabilitation at the Mayo Clinic in Rochester, Minnesota; and Jean-Christophe Fillion-Robin and Beatriz Paniagua of Kitware Inc. in Clifton Park, New York. The involvement of Kitware, a company known for its leadership in open-source scientific computing, underscores the blend of academic rigor and software engineering expertise required to produce a research tool robust enough for widespread distribution. Funding was provided by the National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health under award numbers AR059185, AR078924 and AR071338.

The implications of this work extend naturally to the future of musculoskeletal imaging. As newer CT technologies, including photon-counting detector systems, deliver ever-finer spatial resolution and as dynamic 4DCT becomes more widely available, the volume of image data available for kinematic analysis will grow dramatically. Tools like 3DH, which are fast, semi-automated and validated across modalities, will be essential for converting that imaging bounty into quantitative biomechanical knowledge. For patients with wrist disorders, the downstream promise is equally tangible: better measurements of how carpal bones actually move in living joints can inform more accurate diagnoses, improved surgical planning, more realistic computational models of joint loading and ultimately better-designed treatments for conditions ranging from scapholunate instability to thumb-base arthritis. With the tool now openly available in the 3DSlicer environment, researchers around the world can begin putting it to work.

If you’re one of the many people chowing down on melatonin gummies to help get to sleep, you may want to check out this study.

A new piece of research published by the American Heart Association made an alarming discovery about long-term use of melatonin supplements, an over-the-counter sleep aid used by tens of thousands. Basically, those who use melatonin over a year or more had a 90 percent higher risk of developing congestive heart failure over a five-year period.

Before you go flush your gummies down the toilet, there are a few caveats. For starters, the findings weren’t based on a clinical trial, but on data from a large database of anonymous health records. Researchers drew from data on chronic insomniacs, specifically, splitting them into two groups: those who have dosed the sleep-regulating hormone over a period of 12 months or more, and those who suffer without.

Still, the results are clearly worrisome. Overall, the study found that 4.6 percent of the melatonin group went on to develop heart failure, compared to 2.7 percent for the control group.

That wasn’t the only data point suggesting it may be time to wean off the ‘tone. A secondary analysis performed by the researchers found that melatonin users were nearly 3.5 times more likely to be hospitalized for heart failure than those in the other group, with hospitalization rates of 19.0 and 6.6 percent, respectively.

“Melatonin supplements are widely thought of as a safe and ‘natural’ option to support better sleep, so it was striking to see such consistent and significant increases in serious health outcomes, even after balancing for many other risk factors,” Ekenedilichukwu Nnadi, the study’s lead author and chief resident in internal medicine at SUNY Brooklyn, said in a press release.

While more in-depth research is needed to confirm the study’s results, the early findings indicate that melatonin use comes with some serious risks in the long-term.

“Melatonin supplements may not be as harmless as commonly assumed,” as Nnadi explained. “If our study is confirmed, this could affect how doctors counsel patients about sleep aids.”

More on health studies: The Hectic Modern World Is Shredding Your Little Cave Man Brain, Scientists Confirm

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In Boé National Park, researchers have repeatedly encountered a small number of trees marked by gouged bark and piles of stones at their bases. These signs suggest that wild chimpanzees have returned to the same trees for years to throw rocks. According to a recent field account by University of Victoria researchers Robyn Nakano and Ammie Kalan, some of these sites have remained in use for over a decade.

This behavior, called accumulative stone throwing, has been observed in only four chimpanzee populations in West Africa. While rocks and trees are widespread in chimpanzee habitats, piling stones at specific trees is rare. Nakano, Kalan, and other researchers suggest this may be a cultural practice within certain groups rather than arising from environmental factors alone.

What the Behavior Looks Like

Video recordings collected through the Pan African Programme and analyzed in a 2016 Scientific Reports study led by Hjalmar Kühl show that mostly adult male chimpanzees throw rocks at particular trees and repeatedly return to the same trunks. During these events, the chimpanzees pant-hoot, a loud call used for long-distance communication, and sometimes perform buttress drumming by repeatedly striking the tree’s buttressed base with their hands and feet.

Pant-hooting and buttress drumming are typical features of displays put on by male chimpanzees. The fact that these behaviors occur alongside stone throwing suggests that accumulative stone throwing may have developed as a variation of these existing social displays.

A Ritualized Behavior, Not a Coincidence

Researchers suspect this behavior may be cultural rather than simply a response to environmental conditions because it occurs only in certain areas, even though appropriate rocks and trees are common throughout chimpanzees’ habitats. Within one population, only particular trees are used as throwing sites. Earlier studies have suggested that the behavior might function as a form of communication or could indicate places of symbolic significance within a community’s territory.

The behavior could also offer archaeologists a rare example of how repeated stone use and accumulation can create material traces that persist after the animals that made them have moved on.

Some primates use stones as tools, including populations that use rocks to open nuts for food. Accumulative stone throwing differs because the behavior occurs in a social context rather than during extractive foraging. The purpose of this behavior for the chimpanzees remains unclear.

Into the Boé Wilderness

Nakano and Kalan conducted their fieldwork from Béli, a village where the Dutch nonprofit Chimbo operates a solar-powered research compound with local partners. The team traveled 22 kilometers by bicycle and on foot into the savanna-woodland to establish a camp, working with field assistants Djei Baldé, Balu Séra, and master’s student Taylor Tippett from the Great Ape Behaviour Lab.

The Boé chimpanzees are not used to humans and tend to avoid them, making direct observation impossible. The team instead set up two video cameras at each known stone-throwing site and placed audio recorders nearby to monitor the area.

Each day began at 6:30 a.m. with visits to two to five sites to replace SD cards and batteries, check equipment, measure trees, and create 3D scans of rocks thrown at the trees for later analysis. The team also recorded chimpanzee nests, feeding traces, and vocalizations along the trails. Their camp was located beside the Fefine River, which continues flowing through the dry season and provides an important water source for wildlife.

A Decade of Stone Throwing

The team found that most sites first identified by the Pan African Programme and revisited in 2017 remained active when Nakano and Kalan’s team returned in 2026. Chimpanzees have returned to these same trees to throw rocks for more than ten years.

The video and audio collected during this trip will allow the team to identify the age and sex of individual stone-throwers and observe how nearby chimpanzees respond to these events. This data could help the researchers determine the purpose of this behavior.

A Landscape Under Threat

Chimpanzees’ habitat in Guinea-Bissau is becoming increasingly threatened by industrial mining. During fieldwork, the researchers discovered boreholes dug to explore bauxite, the ore used to produce aluminum. Although bauxite mining might help promote economic development, comparable operations in neighboring Guinea have caused habitat loss and pollution, with negative effects on both wildlife and local communities. The country’s political instability also presents challenges for environmental oversight.

Nakano and Kalan emphasize that losing these stone-throwing sites would be both a cultural and ecological loss, erasing a documented example of primate material culture.

What’s Still Unknown

Nakano and Kalan are still analyzing the footage from this field season, but the main question of why chimpanzees throw stones at these specific trees remains unanswered. Still, the evidence collected by the cameras and recorders could help determine whether the behavior functions as territorial signaling, long-distance communication, or something else entirely.

Austin Burgess is a writer and researcher with a background in sales, marketing, and data analytics. He holds an MBA, a Bachelor of Science in Business Administration, and a data analytics certification. His work focuses on breaking scientific developments, with an emphasis on emerging biology, cognitive neuroscience, and archaeological discoveries.