In The News

31 August 2026
The Precision Revolution
From Kansas City Magazine, Kansas City’s hospitals and researchers are harnessing AI, genomics and precision medicine to create treatments tailored to each patient
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Video
Ahmet Karabulut was recently awarded third place in the Nikon Small World in Motion competition for his video showing a time-lapse of neurons and stinging cells of the sea anemone
Karabulut's award-winning video illustrates the dynamics between sea anemone neurons and stinging cells
Ahmet Karabulut, a predoctoral researcher in the lab of Matt Gibson, Ph.D., was recently awarded third place in the Nikon Small World in Motion competition for his video showing a time-lapse of neurons and stinging cells in the body column of the sea anemone, Nematostella vectensis.
Nikon Small World recognizes the artistic creativity and technological prowess of microscopists. “This is a huge honor,” Karabulut said. “I hope my video has a positive impact and inspires others to pursue exciting work that shows the beauty of life in exquisite detail”
Karabulut, a cell and developmental biologist, captured the video while working as a predoctoral researcher at the Graduate School of the Stowers Institute.
Fascinated by the biology of living things at scales not accessible to the human eye, Karabulut has been taking photographs through a microscope for more than 10 years and has used advanced microscopy techniques for the last five years.
When asked about the winning video Karabulut explained, “It provides a
window into the complex and ever-changing events in the live animal,
which are only observable under the microscope.”
In The News

31 August 2026
From Kansas City Magazine, Kansas City’s hospitals and researchers are harnessing AI, genomics and precision medicine to create treatments tailored to each patient
Read Article
In The News

26 August 2026
From InnotechInsider, Stowers is highlighted among leading research institutes integrating AI directly into biological research.
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News

25 August 2026
Reflecting on the 2026 Stowers Summer Scholars Program
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Press Release

25 August 2026
A team from the Zeitlinger Lab developed PISA, a new method for visualizing what deep-learning models learn from DNA at single-base resolution. By separating experimental bias from biological signal, the team was able to train a more focused model that revealed previously hidden DNA sequence features linked to nucleosome positioning and the genome’s larger three-dimensional organization. The work also shows how model interpretation can guide new experiments and help biologists move from AI prediction toward biological mechanism.
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