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Single-Molecule Biology Lab
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A lab that uses single-molecule imaging to uncover how cells process information.
AboutAbout the lab
Uncovering the mechanisms of stochastic information processing in cells
The Single-Molecule Biology Lab observes biomolecules inside cells one at a time to study how cells process information and move.
The lab aims to reveal, at single-molecule resolution, how stochastically acting biomolecules give rise to systems with information-processing and motile functions.
Recently, using artificial intelligence techniques such as deep learning together with robotics, the lab developed a cell measurement system that automates everything from microscope operation to image analysis.
Members' backgrounds include biology, engineering, physics, chemistry, mathematics, and information science.
Key terms
- Single-molecule imaging
- A method that makes molecules visible by making them fluoresce, allowing direct observation of the movement of individual molecules working inside cells.
- Cellular slime mold
- The organism this lab uses to study cellular information processing. Its scientific name is Dictyostelium discoideum.
- Chemotaxis
- Movement in which a cell senses differences in the concentration of surrounding chemicals and moves in a determined direction.
ResearchResearch themes
Cells are systems with information-processing and motile functions, built from assemblies of stochastically acting biomolecules. By combining single-molecule imaging with mathematical modeling, the lab aims to reveal how these systems are put together at single-molecule resolution.
*Illustrative imageConcentration gradient sensing in cellular slime molds
The lab investigates how cellular information-processing and motile functions arise from biomolecular reactions. As a representative example, it has studied the information processing underlying concentration gradient sensing and chemotaxis in the cellular slime mold.
*Illustrative imageSingle-molecule imaging with automated measurement
Single-molecule imaging has relied on many manual steps and was not suited to acquiring large amounts of data. Using artificial intelligence and robotics, the lab automated everything from microscope operation to image analysis, enabling automatic acquisition of single-molecule-resolution images and analysis of molecular dynamics.
MembersFaculty
The Single-Molecule Biology Lab's members page lists professors, project professors, associate professors, assistant professors, and visiting professors.
- ProfessorMasahiro Ueda
- Project ProfessorMichio Hiroshima
- Associate ProfessorTakayuki Ariga
- Assistant ProfessorSatomi Matsuoka
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Fluorescence microscope” Sarathkumaran Ranganathan / CC BY-SA 4.0 (cropped)
- Concentration gradient sensing in cellular slime molds: “Dictyostelium discoideum 43” Usman Bashir / CC BY-SA 4.0 (cropped)
- Single-molecule imaging with automated measurement: “Chemical Genomics Robot” Maggie Bartlett, National Human Genome Research Institute / Public domain (cropped)
- Related lab (Cell Architecture Lab): “Cryo-EM image of C. thermophilum lysate” Pkastrit / CC BY-SA 4.0 (cropped)
- Related lab (Macromolecular Structural Science Lab): “Flagellar Motor Assembly” PKS615 / CC BY 4.0 (cropped)
- Related lab (Cellular Life Science Lab): “Mitochondria in living HeLa cells” 8x57is / CC BY-SA 4.0 (cropped)
- Related lab (RNA Biofunction Lab): “NEAT1 paraspeckles in U-2 OS cells” Aeffenberger / CC BY-SA 4.0 (cropped)
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