Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy
Open accessPublished version of a preprint
Abstract
Understanding cells as integrated systems is central to modern biology. Although fluorescence microscopy can resolve subcellular structure in living cells, it is expensive, is slow, and can damage cells. We present a label-free method for predicting three-dimensional fluorescence directly from transmitted-light images and demonstrate that it can be used to generate multi-structure, integrated images. The method can also predict immunofluorescence (IF) from electron micrograph (EM) inputs, extending the potential applications.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 21 · Cited by 495
- Authors
- Ounkomol, C., Seshamani, S., Maleckar, M. M., Collman, F., & Johnson, G. R.
- Affiliations
- Allen Institute for Cell Science (US)
- Allen Institute for Brain Science (US)
- Corresponding author
- Johnson, Gregory R.
- Venue
- Nature Methods
- Published
- 2018-09-17
- Volume
- 15
- Issue
- 11
- Pages
- 917-920
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- PMC
- PMC6212323
- OpenAlex
- W2949493305
- Cited by
- 495
- References
- 21
- Citations by year
- 2026: 42 · 2025: 60 · 2024: 54 · 2023: 63 · 2022: 78 · 2021: 80 · 2020: 71 · 2019: 34 · 2018: 12 · 2017: 1
- FWCI
- 25.72
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nc
- www.springer.com/tdm (tdm)
- Locations
- Nature Methods (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01MH104227)
- National Institute of Neurological Disorders and Stroke (R01NS092474)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Digital Holography and Microscopy
- Keywords
- transmitted light microscopy, 3D fluorescence imaging, convolutional neural networks
- MeSH terms
- Cells, Cultured, Fibrosarcoma, Fluorescent Antibody Technique, Humans, Image Processing, Computer-Assisted, Microscopy, Electron, Microscopy, Fluorescence, Imaging, Three-Dimensional, Cellular Structures, Induced Pluripotent Stem Cells, HEK293 Cells
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review