ArticleNature methods2012
Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy.
Article in Nature methods, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 149 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
149 citing papers in PubMed.
- Versatile optical frontends for multicolor fluorescence imaging with miniaturized lensless sensors.Biomedical optics express · 2026Article
- Lensless Quantitative Phase Imaging with Bayer-Filtered Color Sensors Under Sequential RGB-LED Illumination.Journal of imaging · 2026Article
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- Automated HER2 Scoring with Uncertainty Quantification Using Lensfree Holography and Deep Learning.BME frontiers · 2026Article
- OpenLM: an open-source pixel super-resolution platform for lens-free microscopy with applications in bacterial growth monitoring and deep learning-based bacterial detection.Lab on a chip · 2025Article
- Maskless and on-chip LED-array microscope with spatially-varying angle calibration for centimeter-scale phase imaging.bioRxiv : the preprint server for biology · 2025Article
- Diffraction-informed deep learning for molecular-specific holograms of breast cancer cells.APL bioengineering · 2025Article
- Cell Observation and Analysis with a Three-Dimensional Optical Wave Field Microscope.Biosensors · 2025Article
- Lensless imaging with a programmable Fresnel zone aperture.Science advances · 2025Article
- Multi-culture label-free quantitative cell migration sensing with single-cell precision.Biomedical optics express · 2025Article
- Advances in Portable Optical Microscopy Using Cloud Technologies and Artificial Intelligence for Medical Applications.Sensors (Basel, Switzerland) · 2024Review
- Quantitative phase imaging verification in large field-of-view lensless holographic microscopy via two-photon 3D printing.Scientific reports · 2024Article
- High-resolution lensless holographic microscopy using a physics-aware deep network.Journal of biomedical optics · 2024Article
- Lens-free on-chip 3D microscopy based on wavelength-scanning Fourier ptychographic diffraction tomography.Light, science & applications · 2024Article
- Long-term imaging of three-dimensional hyphal development using the ePetri dish.Biomedical optics express · 2024Article
- Quantitative phase imaging based on holography: trends and new perspectives.Light, science & applications · 2024Review
- Off-axis digital lensless holographic microscopy based on spatially multiplexed interferometry.Journal of biomedical optics · 2024Article
- All-optical complex field imaging using diffractive processors.Light, science & applications · 2024Article
- Noise Tolerant Photonic Bowtie Grating Environmental Sensor.ACS sensors · 2024Article
89 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
We discuss unique features of lens-free computational imaging tools and report some of their emerging results for wide-field on-chip microscopy, such as the achievement of a numerical aperture (NA) of ∼0.8-0.9 across a field of view (FOV) of more than 20 mm(2) or an NA of ∼0.1 across a FOV of ∼18 cm(2), which corresponds to an image with more than 1.5 gigapixels. We also discuss the current challenges that these computational on-chip microscopes face, shedding light on their future directions and applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.