Myolex’s mView system collects data on up to 37 individual muscles, on both the left and right sides of the body. Using the wealth of data picked up from every scan in combination with our existing ~10 million muscle scans of comparative data, mView is able to detect even minor changes and abnormalities in the muscle within days — well before they can be seen by the naked eye, and before they become apparent in competition or performance data.

Once a muscle-by-muscle assessment is completed, small differences within muscle groups can offer detailed insights into how well a given muscle is performing, recovering from injury, or how muscle imbalances are impacting form and performance.

Our core technology is backed by peer-reviewed scientific research. With our rich database and ongoing research, we continue to explore new ways in which coaches, trainers, and physical therapists can leverage EIM to predict and prevent injuries, help quantify recovery, measure fatigue, recognize imbalances and asymmetries, and create workouts for improved performance.


Our mView system is currently being used in beta by several professional sport teams and NCAA DIVISION I universities. Their feedback is helping us identify potential diagnostic capabilities, and expand our vast database to develop new algorithms for further study.

Below are some of the specific applications we are currently focusing on:

Muscle Condition – An indication of the specific muscle’s health and fitness. With a total of 74 muscles which can be measured, muscle condition also gives insight into any imbalances and asymmetries which may impact performance.

Injury Recovery — Physical therapists today still don’t have the technology to accurately monitor the status of an injured joint or muscle. With EIM’s detailed insights, it becomes possible to detect an injury and monitor its recovery based on normative data, historic measurements of the healthy muscle, and left to right side comparisons.

Intramuscular Fat – The ratio of lean muscle mass to the intramuscular fat within a muscle provides trainers with better insight of muscle efficiency and helps them better understand whether a strength training program is working.

Subcutaneous Fat –  A measurement of the total body fat percentage most closely compared in accuracy to the gold standard, DXA scan. mView also measures the fat percentage over specific muscle groups.

Muscle Exertion/Fatigue – Trainers are able to see how hard an athlete is pushing during a workout and how quickly a muscle recovers from fatigue after a workout.

Muscle Fiber Type – Insight into the athlete’s ratio of slow twitch (type I) versus fast twitch (type II) muscle fibers.

Muscle Stretchability – A measure of the muscle’s stretchability in order to better understand the range of motion and the muscle’s ability to return to its natural state.


Activity trackers can tell you exactly what an athlete is doing, step by step, in training and competition. But they have little insight on how he’s getting it done, or why it’s getting done that way. For example, “how is his body compensating for that sprain?” Or, “why is he slower to his left than to his right?”

EMG sensors measure the electrical activity of muscles. The stronger the muscle contraction, the greater the electrical activity. While it can indicate when a muscle is contracting or not contracting enough, it gives no insight into what’s causing the lack of work – whether it’s due to short-term fatigue or the compensation for other muscles’ weaknesses in the long-term.

With current tools available, coaches are still left with the same basic plan: balance the workouts and diet, practice good form, and work any weak spots harder. But how much work can that weak spot take? How will it affect the rest of the body? Which specific muscles are lacking?

mView is able to provide insight into a muscle’s composition like no other, and detect even minor changes in the muscle, well before they become apparent in performance.