ArticleNeuroscience2019
Sensitivity of Mammalian Cone Photoreceptors to Infrared Light.
Article in Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Mouse Bio-behavioral Phenotyping Using a Digital Homecage Framework for Long-timescale, High-resolution, and Multi-factor Data Collection and Analytics.Research square · 2026Article
- A flexible photoacoustic retinal prosthesis.Nature communications · 2025Article
- A flexible photoacoustic retinal prosthesis.bioRxiv : the preprint server for biology · 2025Article
- Multiphoton Neurophotonics: Recent Advances in Imaging and Manipulating Neuronal Circuits.ACS photonics · 2025Review
- Red Light Sensitivity of Non-image and Image Forming Visual Systems of Laboratory Rodents: Circadian Disruption and Behavioral Detection.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Light at night: effect on the daily clock, learning, memory, cognition, and expression of transcripts in different brain regions of rat.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2023Article
- Article
- From mouse to human: Accessing the biochemistry of vision in vivo by two-photon excitation.Progress in retinal and eye research · 2023Review
- Femtosecond Er-doped fiber laser source tunable from 872 to 1075 nm for two-photon vision studies in humans.Biomedical optics express · 2022Article
- Article
- Two-photon microperimetry with picosecond pulses.Biomedical optics express · 2021Article
- Clinical Application of Infrared-Light Microperimetry in the Assessment of Scotopic-Eye Sensitivity.Translational vision science & technology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
Abstract
Two-photon vision arises from the perception of pulsed infrared (IR) laser light as color corresponding to approximately half of the laser wavelength. The physical process responsible for two-photon vision in rods has been delineated and verified experimentally only recently. Here, we sought to determine whether IR light can also be perceived by mammalian cone photoreceptors via a similar activation mechanism. To investigate selectively mammalian cone signaling in mice, we used animals with disabled rod signal transduction. We found that, contrary to the expected progressive sensitivity decrease based on the one-photon cone visual pigment spectral template, the sensitivity of mouse cone photoreceptors decreases only up to 800 nm and then increases at 900 nm and 1000 nm. Similarly, in experiments with the parafoveal region of macaque retinas, we found that the spectral sensitivity of primate cones diverged above the predicted one-photon spectral sensitivity template beyond 800 nm. In both cases, efficient detection of IR light was dependent on minimizing the dispersion of the ultrashort light pulses, indicating a non-linear two-photon activation process. Together, our studies demonstrate that mammalian cones can be activated by near IR light by a nonlinear two-photon excitation. Our results pave the way for the creation of a two-photon IR-based ophthalmoscope for the simultaneous imaging and functional testing of human retinas as a novel tool for the diagnosis and treatment of a wide range of visual disorders.
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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.