Light-Induced Fluorescence Transient¶

An active standoff chlorophyll-fluorescence method that drives photosystem II with prescribed fast-repetition induction and relaxation flashlets and models the resulting transient to estimate PSII efficiency, absorption cross-section, and electron-transfer kinetics.

Version: v2 · 2026-09-06 · History
Domain-specific #: 2179
Origin domain: plant physiology
Subdomain: active chlorophyll fluorometry
Aliases: LIFT, Laser-induced fluorescence transient

Core Idea¶

The Light-Induced Fluorescence Transient (LIFT) is an active chlorophyll-fluorescence measurement method for remotely probing photosystem II (PSII) in terrestrial vegetation. It applies a prescribed fast-repetition-rate sequence of brief, individually subsaturating excitation flashes—usually called flashlets—to drive a controlled change in PSII reaction-center state. It records the red chlorophyll fluorescence during both induction and relaxation, then interprets the time-resolved trace through a declared protocol and model. The result can support estimates of PSII photochemical efficiency, functional or optical absorption cross-section, and electron-transfer kinetics at a leaf or canopy target.^[1]^[2]^[3]

The locked identity is terrestrial photosynthetic target + declared adaptation and ambient-light state + controlled fast-repetition excitation + induction sequence that progressively reduces the primary quinone acceptor QA + relaxation sequence that samples QA reoxidation + spectrally separated time-resolved chlorophyll-fluorescence detection + protocol-specific fitting or parameter extraction + calibration and contextual covariates → bounded evidence about PSII photochemistry. The saturation sequence, commonly denoted SQA, raises fluorescence as open PSII reaction centers become closed through QA reduction. A following relaxation sequence, RQA, spaces probe flashlets over increasing intervals to observe recovery as QA is reoxidized and electrons move downstream.^[4]^[5]

LIFT is the method, not a particular box and not the raw trace alone. The 2005 prototype used a 665-nm laser and collected fluorescence around 690 nm from vegetation as far as 50 m away. Later systems use eye-safe blue light-emitting diodes, shorter standoff distances, automation, and field-positioning platforms. Those changes replace the excitation and deployment implementation while preserving the induction–relaxation roles and interpretation target.^[2]^[6]^[5] A LIFT instrument instantiates the method; a fluorescence transient is one of its observations.

The method is autonomous because it recurs with a stable recognition rule across foundational theory, long-range tree-canopy monitoring, laboratory measurements, automated canopy scans, and field phenotyping. It is more specific than fast-repetition-rate fluorometry in general and more general than any named instrument, pulse timing, crop study, or software fit. It remains domain-specific rather than prime because its identity cannot be stated literally without chlorophyll fluorescence, PSII reaction centers, QA reduction and reoxidation, plant adaptation state, and photophysiological interpretation.

Structural Signature¶

the photosynthetic target — a specified leaf, rosette, branch, or canopy region containing optically accessible chlorophyll and functioning PSII;
the target and environmental frame — species or genotype, tissue state, target geometry, standoff distance, ambient irradiance, temperature, wind or motion, and other covariates relevant to fluorescence and photosynthesis;
the adaptation state — dark-adapted or light-adapted conditions, stated because they change the fluorescence levels and the meaning of derived efficiency ratios;
the excitation source and delivery optics — a laser or LED system that projects controlled excitation onto a declared target area without requiring physical leaf contact;
the flashlet protocol — brief, individually subsaturating flashes with declared wavelength, duration, intensity, interval, count, duty cycle, and repetition or averaging scheme;
the induction or SQA sequence — a high-duty-cycle train that progressively reduces QA and closes PSII reaction centers, producing a fluorescence rise toward a protocol-defined maximum;
the relaxation or RQA sequence — lower-duty-cycle probes, commonly with increasing intervals, that sample fluorescence decline as QA is reoxidized and downstream electron transport resumes;
the fluorescence receiver — collection optics and a detector with spectral separation sufficient to distinguish red chlorophyll fluorescence from excitation, reflection, ambient light, and electronic background;
the time-resolved transient — fluorescence yield indexed to flashlet or elapsed time, retaining induction and relaxation anatomy rather than only one endpoint;
the response model — an explicitly chosen physical, kinetic, or empirical relation that estimates baseline, maximum, cross-section, or relaxation parameters from the measured trace;
the protocol-defined fluorescence levels — initial or steady fluorescence and estimated maximum fluorescence for the stated adaptation condition, not presumed interchangeable with values from another fluorometer;
the derived quantities — supported ratios and kinetic parameters, such as dark-adapted Fv/Fm, light-adapted Fq'/Fm', QA reoxidation measures, or PSII absorption cross-sections;
the optical and physiological controls — dark and reference readings, detector checks, target registration, quality filters, and comparison with standards or independent measurements appropriate to the claim;
the spatial and temporal sampling design — spot size, target selection, revisit interval, replication, and averaging that determine what population and timescale the result represents;
the interpretation boundary — a declaration that LIFT measures fluorescence responses used as proxies for specified PSII properties, not CO2 assimilation, biomass, stress tolerance, or yield directly.

Recognition test. A measurement is LIFT when it actively induces and resolves a PSII fluorescence transient with a controlled fast-repetition sequence that includes interpretable induction and relaxation roles, and when it extracts bounded photophysiological quantities using a declared LIFT/FRR model. A passive record of solar-induced fluorescence, a continuously illuminated OJIP curve, a PAM saturating-pulse measurement, or an arbitrary time series from a fluorescence sensor does not become LIFT merely because the signal comes from chlorophyll.

What It Is Not¶

Not a device brand or one prototype. Original laser-telescope and later LED instruments are implementations. Additional RGB cameras, spectrometers, vehicle mounts, or proprietary software can enrich a platform without becoming defining LIFT roles.
Not the transient alone. The trace is an output of the controlled intervention. Without excitation metadata, adaptation state, optical separation, calibration, and a supported response model, its shape does not warrant a LIFT parameter claim.
Not fast-repetition-rate fluorometry in full. FRR fluorometry is the broader methodological family, originally developed and widely used beyond terrestrial remote phenotyping. LIFT is a terrestrial, standoff-oriented specialization that couples fast-repetition excitation to remote plant measurements and characteristic induction–relaxation analysis.^[1]
Not pulse-amplitude-modulated fluorometry. PAM generally uses modulated measuring light and a strong saturating pulse to obtain maximum fluorescence. LIFT uses a train of brief subsaturating flashlets and models the resulting transient. Analogous symbols do not guarantee method-equivalent values.^[6]^[4]
Not solar-induced fluorescence. Passive SIF observes fluorescence under sunlight and commonly scales to larger areas. LIFT deliberately changes the target’s light environment to create an information-bearing transient.^[6]
Not the Kautsky effect or OJIP test. Those describe other fluorescence-induction regimes and analyses, commonly following continuous or high-intensity illumination. LIFT fixes a fast-repetition pump–probe protocol directed at QA reduction and reoxidation.
Not generic laser-induced fluorescence. LIFT is not defined merely by excitation with a laser; LED implementations preserve the method. Generic laser-induced fluorescence does not necessarily probe PSII or contain SQA/RQA roles.
Not direct photosynthetic carbon assimilation. LIFT-derived fluorescence quantities can correlate with electron transport or gas exchange under appropriate assumptions and validation. They do not by themselves measure stomatal conductance, CO2 fixation, whole-plant carbon gain, biomass, drought tolerance, or crop yield.
Not automatically non-perturbing. It is non-contact and can be minimally intrusive, but the excitation deliberately changes PSII redox state. Pulse dose, repetition, and recovery remain experimental-design obligations.

Scope of Application¶

LIFT applies where researchers need active chlorophyll-fluorescence information from targets that are inaccessible, numerous, spatially heterogeneous, or repeatedly observed under changing conditions. The founding study demonstrated the method on cottonwood and oak canopies and Arabidopsis mutants at standoff distances reaching 50 m.^[2] Later work monitored daily and seasonal photosynthetic efficiency in deciduous and evergreen tree canopies, showing both the benefit of remote access and the difficulty of interpreting signals from geometrically complex conifer foliage.^[6]

The method also supports automated plant phenotyping. An automated LIFT platform repeatedly scanned crop canopies under fluctuating semi-field conditions and resolved genotype-by-environment variation across several crop species.^[7] High-throughput field work subsequently applied the approach across more than two hundred durum-wheat accessions under drought, combining fluorescence measurements with experimental design and environmental context rather than treating one trace as a genotype property.^[8] These are literal recurrences: each preserves active flashlet induction, transient detection, parameter extraction, and bounded PSII interpretation.

LIFT can operate on dark- or light-adapted plants. In the dark-adapted case, a supported protocol can estimate minimum and maximum fluorescence and derive Fv/Fm = (Fm - Fo)/Fm. In light-adapted conditions, the operating efficiency is commonly expressed as Fq'/Fm' = (Fm' - F')/Fm', where the primes mark the light-adapted state. These equations define ratios once the fluorescence levels are validly obtained; they do not make all methods of obtaining Fm equivalent.^[3]^[5]

Pulse counts, exact wavelengths, flashlet durations, relaxation landmarks, standoff distances, and fitting equations belong to declared implementations. For example, one 2017 prototype used a 380-microsecond near-saturation sequence of 180 approximately one-microsecond flashlets followed by 90 relaxation probes over about 30 milliseconds, while another automated field protocol used a different induction duration and hundreds of flashlets.^[4]^[7] Treating either schedule as universal would erase the method’s protocol dependence, a dependence already emphasized in foundational FRR work.^[1]

Clarity¶

Consider a light-adapted leaf in a canopy. Before the main excitation train, the detector obtains the fluorescence level associated with the declared ambient and protocol state. During SQA, closely spaced flashlets repeatedly excite PSII. Photochemistry progressively reduces QA, fewer reaction centers remain open for charge separation, and fluorescence rises. The model estimates a maximum fluorescence level for that protocol. The difference Fq' = Fm' - F' and the ratio Fq'/Fm' describe a PSII operating-efficiency quantity, provided the optical measurement and state assumptions hold.

The RQA probes then arrive at longer intervals. Between probes, QA can be reoxidized as electrons proceed toward the plastoquinone pool and downstream carriers. Fluorescence declines accordingly. The time course can support empirical relaxation indices or model-based kinetic parameters. The detector’s spectral filter suppresses reflected excitation light, while reference readings and quality rules address background and instrumentation. The whole chain—not the red signal alone—supports the claim.^[3]^[4]

This example clarifies three often-confused objects. The instrument produces and collects light. The transient is the time-indexed observation caused by the protocol. LIFT is the organized method linking target state, excitation, observation, model, controls, and interpretation. Calling the instrument “a LIFT” is normal laboratory shorthand, but the abstraction is the reproducible measurement structure that another device can implement.

Manages Complexity¶

Photosynthesis changes over seconds, days, seasons, canopy positions, species, genotypes, and environmental gradients. Conventional leaf-contact measurements can be slow or limited to accessible leaves; passive remote signals can cover broad areas but provide different mechanistic constraints. LIFT compresses part of this high-dimensional problem into a fast, repeatable perturb-and-observe cycle that can be aimed at defined targets and automated across space and time.^[9]^[6]

The method separates complexity into diagnosable layers. Excitation optics determine photon delivery. PSII state determines the induced response. Collection geometry and tissue structure determine how fluorescence reaches the detector. The temporal protocol exposes induction and relaxation components. A response model maps trace shape to parameters. Calibration, covariates, and replication determine whether differences can be attributed to physiology rather than distance, angle, canopy movement, ambient light, temperature, or instrument drift.

That decomposition makes failure localizable. A low signal can arise from low fluorescence, a small target fraction in the spot, unfavorable angle, excessive distance, detector saturation or underexposure, or a damaged excitation path. A changed efficiency ratio can arise from true physiological acclimation, a change in adaptation state, or a protocol/model mismatch. An altered relaxation trace can indicate electron-transfer dynamics or simply insufficient signal-to-noise. The LIFT structure forces these possibilities into explicit roles instead of allowing a single “photosynthesis score” to absorb them.

Abstract Reasoning¶

If flashlet intensity or spacing changes while the fitting model assumes the old protocol, apparent differences in Fm, cross-section, or relaxation can be methodological rather than biological.
If the induction train does not reduce enough QA to constrain the maximum, extrapolated Fm becomes model-sensitive even when raw fluorescence is precise.
If repeated pulse trains arrive before full recovery, the measurement history changes the target state; the next transient is not an independent replicate.
If background or reflected excitation leaks through the optical channel, the measured rise can include source light rather than chlorophyll fluorescence.
If a canopy spot mixes sunlit and shaded leaves, the fitted parameter summarizes a heterogeneous optical and physiological ensemble, not a single representative leaf.
If wind changes target position or angle, fluorescence amplitude and illuminated fraction can change without any biochemical change.
If ambient irradiance is taken from a remote weather sensor rather than the measured leaf surface, an electron-transport-rate estimate inherits a spatial-frame assumption.
If a LIFT maximum is substituted directly for a PAM maximum, the estimate can be biased because the protocols may reduce different parts of the QA–plastoquinone system.^[4]
If Fq'/Fm' changes with temperature or light, that does not alone identify drought, nutrient limitation, or genotype; causal attribution requires the experimental comparison and covariates.
If fluorescence efficiency predicts later biomass in one environment, the relation may fail after canopy architecture, source–sink dynamics, or stress timing changes; LIFT is upstream evidence, not the biomass outcome.^[10]
If LED and laser systems preserve the excitation-response roles and are validated against the same bounded quantities, the source technology can change without changing method identity.
If an imaging system records chlorophyll fluorescence without a fast-repetition induction–relaxation protocol, it may be useful fluorescence phenotyping but fails the LIFT recognition test.

Knowledge Transfer¶

Within plant science, exact transfer means re-instantiating the same roles on another species, scale, or platform. A laboratory Arabidopsis target, an inaccessible tree branch, a conveyor-grown crop, and a field wheat plot can all receive a defined SQA/RQA sequence, yield a spectrally isolated transient, and support protocol-bounded PSII quantities. The method transfers while target geometry, adaptation conditions, optics, pulse schedule, model parameters, and validation are re-established rather than copied blindly.

What transfers across domains is not “LIFT” as a literal label but the more general perturb-and-observe skeleton: drive a system with a known input, resolve its transient response, and fit parameters tied to a mechanistic model. That skeleton belongs to Measurement and Transient Response. In electrochemistry, neuroscience, or control engineering, the biological entities are different and the procedure is not LIFT. The encyclopedia should recognize the shared primes without importing PSII vocabulary metaphorically.

The strongest practical transfer lesson is protocol traceability. A derived value is not detached from flashlet intensity, duration, spacing, adaptation state, optical geometry, filtering, fitting method, and reference procedure. Sharing only Fq'/Fm' or a relaxation index can conceal non-equivalent measurement chains. A valid transfer either preserves the chain or demonstrates a bridge between chains.

Examples¶

Foundational long-range measurement. Kolber and colleagues projected 665-nm laser excitation onto terrestrial vegetation and collected fluorescence around 690 nm with a telescope. The method operated at distances up to 50 m and was demonstrated on cottonwood, oak, and Arabidopsis targets. The laser wavelength, telescope, beam diameter, and range instantiate excitation and collection roles; the enduring abstraction is the remote FRR transient and PSII parameter interpretation.^[2]

Seasonal tree-canopy monitoring. Pieruschka and colleagues repeatedly measured defined regions of inaccessible deciduous and evergreen canopies and compared LIFT quantities with monitoring PAM measurements. Broadleaf results compared reasonably in the reported conditions, while conifer canopy structure introduced discrepancies. The example maps target region, long-range excitation, temporal repetition, comparison method, and canopy-geometry uncertainty, illustrating why remote access does not erase optical context.^[6]

Automated multi-species canopy scanning. A positioning platform moved LIFT systems across crop rows and repeatedly measured transient parameters under fluctuating conditions. Species, genotype, time of day, canopy distance, and environment became explicit factors. The device’s simultaneous spectral or RGB channels were useful covariates, but the LIFT identity still resided in the active fluorescence sequence and its parameter extraction.^[7]

Durum-wheat drought phenotyping. A large field panel was assessed with a remote LIFT protocol to reveal genetic variation in fluorescence-derived photosynthetic traits under drought. Replicate plot sampling, reference observations, target distance, experimental treatment, and statistical comparison turned repeated traces into population evidence. The experiment did not make drought tolerance an intrinsic LIFT output; drought response was an inference from the design.^[8]

Non-example: passive canopy fluorescence. A spectrometer records sunlight-excited fluorescence from a crop without projecting a controlled flashlet sequence. The observation may support solar-induced-fluorescence research, but it has neither SQA nor RQA and therefore is not LIFT.

Structural Tensions¶

Remote reach versus optical specificity. Standoff measurement accesses otherwise unreachable targets and enables automation, but the observed spot can mix leaves, gaps, angles, and illumination histories. Diagnostic: specify the illuminated footprint and ask whether its composition remained stable across comparisons. A larger sample is not automatically a better-defined target.

Information versus perturbation. More or stronger flashlets can improve signal and constrain a maximum, yet excitation deliberately alters QA state and repeated trains can add photophysiological history. Diagnostic: compare pulse dose and recovery interval with the target’s response times and demonstrate that repeated measurement does not create the effect attributed to treatment.

Mechanistic parameter versus model dependence. A transient reflects PSII dynamics, but Fm, cross-sections, and relaxation constants are extracted through assumptions about excitation, closure, reoxidation, and optical response. Diagnostic: perturb the fit, inspect residuals, and compare supported parameters with an independent method. A familiar symbol does not cancel model dependence.

Throughput versus contextual control. Automated scanning yields many observations, while sunlight, temperature, wind, target distance, leaf angle, and developmental state change during collection. Diagnostic: treat spatial and temporal covariates as part of the measurement frame and block, randomize, normalize, or model them before attributing differences to genotype or treatment.

Method continuity versus implementation change. Laser and LED systems, long- and short-range optics, and alternative pulse schedules can all implement LIFT. Too rigid a definition mistakes one prototype for the method; too loose a definition absorbs all active fluorometry. Diagnostic: require the induction–relaxation roles and protocol-bounded PSII interpretation while allowing validated hardware substitutions.

Analogy to PAM versus numerical interchangeability. LIFT and PAM can report analogous efficiency quantities, which makes comparison useful, but they drive and sample PSII differently. Diagnostic: require a bridging experiment for a new target, state, and protocol before pooling numerical results or treating maxima as identical.

Structural–Framed Character¶

LIFT is predominantly structural within its home domain. The stable pattern—controlled perturbation, time-resolved response, separation of induction and relaxation, model-based parameter extraction, and calibration—does not depend on one manufacturer, institution, crop, or deployment platform. This supports the structural label and its recurrence across research groups and experimental settings.

The structure does not become substrate-neutral. QA, the plastoquinone pool, PSII reaction centers, chlorophyll fluorescence, light adaptation, and photosynthetic electron transport are not replaceable labels decorating a general transient. They determine what closes, what relaxes, what the signal means, and which inferences are valid. Removing them leaves the existing primes Measurement and Transient Response, not a portable prime called LIFT.

Institutional history contributes some framing because the acronym developed around a particular research lineage and successive instruments. Nevertheless, later publications distinguish the LIFT method, technique, approach, device, and system, and the method survives substantial hardware changes. The institutional origin therefore does not reduce the candidate to a product.

Structural Core vs. Domain Accent¶

The structural core is: declare a target state; perturb it with a controlled, time-indexed input; measure a response with sufficient discrimination; partition the response into induction and relaxation; fit a supported model; and report parameters with protocol, frame, and uncertainty. This skeleton can guide reasoning about spectroscopy, electrophysiology, system identification, and other dynamic measurements.

The domain accent is constitutive: chlorophyll provides the fluorescence channel; PSII reaction centers and QA supply the state transition; fast-repetition flashlets drive photochemical closure; reoxidation reveals electron transfer; dark or light adaptation governs symbol and interpretation; plant and canopy optics bound remote measurement. Literal LIFT does not survive substitution of a neural membrane, chemical reactor, or electronic circuit, even if the new experiment also produces a transient.

Composite closure through Measurement + Transient Response + Signal Extraction fails. Those primes explain important pieces but do not specify which biological state is manipulated, why the fluorescence rises, how SQA and RQA divide the protocol, why light adaptation matters, or which PSII quantities may be extracted. The residual domain-bound recognition rule warrants its own node.

Measurement. This is the minimal prospective DAG parent. LIFT maps a declared PSII attribute through an excitation–detection instrument and procedure onto protocol-bounded values with calibration, frame, and uncertainty.
Transient Response. The induced fluorescence trajectory is a disturbance-indexed time course with a rise and relaxation anatomy. LIFT creates and analyzes such a response, but the method as a whole is not itself merely the response.
Measurement and Disturbance. LIFT obtains information by deliberately altering the QA redox state. Pulse dose and recovery determine whether that coupling is controlled or confounding.
Signal Extraction. Spectral filtering, background correction, averaging, and fitting recover the desired fluorescence kinetics from reflected excitation, ambient light, geometry, motion, and detector noise.
Construct Validity. Fluorescence-derived quantities are proxies for specified aspects of PSII photochemistry. Validation is needed before extending them to carbon assimilation, stress, biomass, or yield.
Calibration. Optical references, detector behavior, protocol controls, and bridges to independent measurements secure interpretability, but Calibration’s full adjust–verify cycle is a component rather than a universal additional parent.

Relationships to Other Abstractions¶

Current abstraction Light-Induced Fluorescence Transient Domain-specific

Parents (1) — more general patterns this builds on

Light-Induced Fluorescence Transient is a kind of Measurement Prime

Measurement. This is the minimal prospective DAG parent.

Hierarchy path (1) — routes to 1 parentless root

Light-Induced Fluorescence Transient → Measurement

Neighborhood in Abstraction Space¶

Light-Induced Fluorescence Transient sits in a sparse region of the domain-specific corpus (99^th percentile for distinctiveness): few abstractions share its structure, so a faithful description tends to retrieve it precisely.

Family — Unclustered & Miscellaneous (1565 abstractions)

Nearest neighbors

Computed from structural-signature embeddings · 2026-09-08

Not to Be Confused With¶

Measurement is the substrate-neutral genus and does not specify PSII, QA, fluorescence, or fast-repetition induction and relaxation.
Transient Response is the response trajectory after disturbance. LIFT is the domain method that deliberately generates, detects, and interprets one particular fluorescence response.
Measurement and Disturbance supplies the information-versus-perturbation tension but not the plant-physiology mechanism.
Signal Extraction explains recovery of a target signal from background and noise, not why the signal changes or which PSII parameters it supports.
Construct Validity tests whether a proxy warrants an intended inference; it is not a fluorometer protocol.
Fast-repetition-rate fluorometry is the broader family from which LIFT derives. Not every FRR study is terrestrial, remote, or a LIFT implementation.
Pulse-amplitude-modulated fluorometry obtains analogous chlorophyll-fluorescence quantities through a different excitation and detection regime.
Solar-induced fluorescence is passive with respect to excitation and lacks the prescribed SQA/RQA transient.
OJIP or Kautsky fluorescence induction uses a different illumination regime and characteristic curve analysis.
Generic laser-induced fluorescence need not concern photosynthesis, and current LIFT does not require a laser.
Fluorescence-lifetime imaging measures decay lifetimes after excitation and is unrelated to an occasional LIFT-FLIM acronym usage.
A LIFT instrument, software package, camera, or phenotyping vehicle is an implementation or companion system, not the abstraction.
Photosynthesis, electron transport, drought response, and biomass gain are biological processes or outcomes about which LIFT can supply bounded evidence; none is the method itself.

References¶

[1] Zbigniew S. Kolber, Ondřej Prášil, and Paul G. Falkowski, “Measurements of Variable Chlorophyll Fluorescence Using Fast Repetition Rate Techniques: Defining Methodology and Experimental Protocols,” Biochimica et Biophysica Acta—Bioenergetics 1367, nos. 1–3 (1998): 88–106. DOI 10.1016/S0005-2728(98)00135-2; PubMed PMID 9784616. registry ↩a ↩b ↩c

[2] Zbigniew Kolber et al., “Measuring Photosynthetic Parameters at a Distance: Laser Induced Fluorescence Transient (LIFT) Method for Remote Measurements of Photosynthesis in Terrestrial Vegetation,” Photosynthesis Research 84, nos. 1–3 (2005): 121–129. DOI 10.1007/s11120-005-5092-1; PubMed PMID 16049764. registry ↩a ↩b ↩c ↩d

[3] Beat Keller et al., “Maximum Fluorescence and Electron Transport Kinetics Determined by Light-Induced Fluorescence Transients (LIFT) for Photosynthesis Phenotyping,” Photosynthesis Research 140, no. 2 (2019): 221–233. DOI 10.1007/s11120-018-0594-9; PubMed Central PMC6548062. registry ↩a ↩b ↩c

[4] Barry Osmond et al., “Relative Functional and Optical Absorption Cross-Sections of PSII and Other Photosynthetic Parameters Monitored In Situ, at a Distance with a Time Resolution of a Few Seconds, Using a Prototype Light Induced Fluorescence Transient (LIFT) Device,” Functional Plant Biology 44, no. 10 (2017): 985–1006. DOI 10.1071/FP17024; PubMed PMID 32480627. registry ↩a ↩b ↩c ↩d ↩e

[5] Forschungszentrum Jülich, Institute of Bio- and Geosciences—Plant Sciences, “LIFT,” institutional technology description. Official method page. registry ↩a ↩b ↩c

[6] Roland Pieruschka et al., “Daily and Seasonal Dynamics of Remotely Sensed Photosynthetic Efficiency in Tree Canopies,” Tree Physiology 34, no. 6 (2014): 674–685. DOI 10.1093/treephys/tpu035; institutional full text. registry ↩a ↩b ↩c ↩d ↩e ↩f

[7] Beat Keller et al., “Genotype Specific Photosynthesis × Environment Interactions Captured by Automated Fluorescence Canopy Scans Over Two Fluctuating Growing Seasons,” Frontiers in Plant Science 10 (2019): 1482. DOI 10.3389/fpls.2019.01482; full text. registry ↩a ↩b ↩c

[8] Nícolas Zendonadi dos Santos et al., “High-Throughput Field Phenotyping Reveals Genetic Variation in Photosynthetic Traits in Durum Wheat under Drought,” Plant, Cell & Environment 44, no. 9 (2021): 2858–2878. DOI 10.1111/pce.14136; institutional full text. registry ↩a ↩b

[9] Roland Pieruschka et al., “Remote Chlorophyll Fluorescence Measurements with the Laser-Induced Fluorescence Transient Approach,” in High-Throughput Phenotyping in Plants: Methods and Protocols, Methods in Molecular Biology 918 (2012): 51–59. DOI 10.1007/978-1-61779-995-2_5; PubMed PMID 22893285. registry ↩

[10] Beat Keller et al., “Toward Predicting Photosynthetic Efficiency and Biomass Gain in Crop Genotypes over a Field Season,” Plant Physiology 188, no. 1 (2022): 301–317. DOI 10.1093/plphys/kiab483. registry ↩