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REVIEW 5 major objections 7 minor 73 references

Fluorescence Lifetime Imaging Microscopy Analysis of Isolated Melanosomes

T0 review · 5 major / 7 minor · reviewed 2026-08-06 · deepseek-v4-flash

Pith's one-line read The paper reports that melanosome fluorescence contains a fast picosecond-scale decay component and that both lifetime components lengthen over an hour of laser exposure, pointing to light-driven structural change in melanin.

desk verdict First FLIM on isolated melanosomes over an hour, honestly reported but with the central claim riding on one trace and no controls. read the letter →

arxiv 2507.09114 v1 pith:MUX37ZFS submitted 2025-07-12 physics.bio-ph physics.optics

classification physics.bio-phphysics.optics
keywords fluorescencelifetimeimagingmicroscopymelanosomesmelanintime-correlatedsingle-photoncountingreconvolutionfittingphotoinduceddegradationpicoseconddecaylasertherapymonitoring
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper reports the first fluorescence lifetime imaging microscopy (FLIM) study of isolated melanosomes, the organelles whose dominant constituent is melanin. Using a confocal FLIM system with time-correlated single-photon counting, the authors imaged individual melanosomes for 60 minutes under 515 nm laser exposure and fitted each decay curve with two exponential components, τ1 and τ2. They found a relatively short-lived component in the emission and observed that both lifetimes increase steadily over the hour, while total intensity first rises and then falls and spectral width keeps widening. The authors interpret these trends as photoinduced structural and chemical changes in melanin—oxidation and polymer reorganization—happening on a timescale of minutes. If correct, this makes FLIM a real-time, single-organelle probe of laser-induced melanosome degradation, relevant for setting safe parameters in laser dermatology and ophthalmology and for studying pigment-related disease.

What carries the argument

The mechanism that carries the argument is fluorescence lifetime contrast recovered through reconvolution fitting. In the authors' TCSPC setup, the measured decay S(t) is the convolution of the true fluorescence decay F(t) with the instrument response function R(t); F(t) is modeled as a two-exponential sum with amplitudes A1 and A2 and time constants τ1 and τ2. The instrument response function is measured from a mirror reflection at each session rather than simulated, and the fitting pipeline—global optimization followed by non-negative least squares, applied to smoothed data—was validated on a reference dye with a known decay near 10 ps. This setup records decays over a 2 ns window with roughly 500 fs channel resolution, which is what allows the short, sub-0.1 ns component to appear at all.

What would settle it

Hold an identical melanosome preparation in the dark for 60 minutes, recording decay constants only at the start and end; if τ1 and τ2 rise just as much without any laser exposure, the claim that irradiation drives the structural change is falsified.

Watch

Extended reading notes

Core claim

The central claim, stated the way the authors would state it, is that melanosome fluorescence contains a resolvable picosecond-scale decay component and that prolonged laser irradiation progressively lengthens both the fast and slow fluorescence lifetimes. Across 60 one-minute acquisitions of a single tracked melanosome, the fast component τ1 and the slow component τ2 both increase; the amplitude ratio A2/A1 falls sharply in the first ten minutes and then stabilizes; peak and total photon counts rise then decline; and the spectral FWHM widens continuously. Because the lifetimes grow monotonically rather than shrinking as fluorophores are destroyed, the authors argue that simple photobleaching cannot explain the trend. They attribute the changes to cumulative photoinduced modification of melanin, including oxidative degradation and structural reorganization, and note that the two lifetime components likely reflect heterogeneous molecular environments within the organelle.

Load-bearing premise

The load-bearing premise is that the steady increase in τ1 and τ2 over 60 minutes is caused by light-induced structural changes in melanin; the experiment does not include a no-laser control and does not independently verify that focus and organelle position stayed fixed, so drift, Brownian motion, or photobleaching could in principle produce the trend.

Editorial extensions

If this is right

  • If the central claim holds, FLIM can monitor progressive melanosome degradation in real time on the scale of tens of minutes, a capability intensity-based microscopy does not provide.
  • The split into two lifetime components, with A2/A1 dropping sharply in the first ten minutes, would let observers separate an early activation phase from a later structural-change phase using lifetime data alone.
  • The resolved picosecond-scale component implies that melanin studies need fast instrument response and reconvolution analysis, not just conventional nanosecond FLIM.
  • In laser therapy for pigmentation disorders, lifetime readouts could act as a dose monitor, signaling cumulative photoinduced change before visible tissue damage occurs.
  • The monotonic lifetime increase is consistent with oxidative degradation of melanin, connecting the organelle-level optical signal to a known biochemical pathway.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • A direct test the authors did not perform: image the same preparation in the dark for 60 minutes; if decay constants grow without irradiation, the photoinduced interpretation is wrong.
  • If lifetime lengthening is dose-dependent, then repeating the protocol at a lower laser power should slow the rise of τ1 and τ2 proportionally, providing a quantitative check of the causal role of excitation.
  • Applied to retinal pigment epithelium, the same assay might detect a lifetime shift before age-related melanin loss becomes measurable, potentially linking ex vivo observations to macular degeneration.
  • Because the A2/A1 ratio changes most within the first ten minutes, a shortened acquisition could serve as a fast screening readout for early damage without waiting a full hour.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

5 major / 7 minor

Summary. The manuscript reports a FLIM/TCSPC study of isolated melanosomes under continuous 515-nm laser exposure. Fluorescence decays are recorded every minute for 60 minutes and fitted with a two-exponential reconvolution model after Savitzky-Golay smoothing. The authors report that both a fast and a slow lifetime component increase over time, alongside an initial rise and subsequent decline in photon counts, and interpret this as evidence of photoinduced structural changes in melanin on a minute timescale, extending to one hour. They also highlight the detection of a picosecond-scale decay component. The paper includes validation of the fitting procedure on 4-DASPI, an external short-lifetime dye, and provides open-source fitting software and a supplementary table of per-minute parameters.

Significance. If the reported monotonic lifetime increase is real and reproducible, the work would offer a dynamic, organelle-level optical marker of laser-induced melanin modification, relevant to laser therapy and melanosome biology. The paper has clear strengths: the reconvolution pipeline is validated on 4-DASPI with a known ~10 ps lifetime, the fitting uses global optimization followed by non-negative least squares, the software is openly available, and the per-minute decay parameters are provided in a supplementary table. However, the central claim currently rests on a single hand-selected trace and lacks control experiments, so the significance remains prospective rather than established.

major comments (5)
  1. [Data Analysis, Fig. 6] The central trend—that both τ1 and τ2 increase steadily over 60 minutes—is extracted from a single 'most prominent pattern' (Data Analysis section), and Fig. 6 shows no error bars, no replicate counts, and no statistical test. Because the authors state that multiple patterns were observed and that Brownian motion caused random variations, one trace cannot establish a general melanosome response. The manuscript should report how many melanosomes exhibited this rise-and-fall pattern, show the distribution of fitted lifetimes across replicates at each time point, and provide confidence intervals (e.g., from bootstrap or repeated fits).
  2. [Data Analysis, Fig. 5 and accompanying text] A Savitzky-Golay filter is applied to all signals and IRFs before reconvolution fitting, and the manuscript reports reduced χ2 values below 1, attributing them to the smoothing. Such smoothing removes the photon-counting noise that the χ2 statistic is designed to test, so these χ2 values do not demonstrate high fit quality and can also bias the fitted decay parameters, particularly at low count rates and for lifetimes near the ~20 ps IRF width. The authors should validate the full smoothing-plus-reconvolution pipeline on synthetic decays with known two-exponential parameters to show unbiased recovery of lifetimes, and should report χ2 computed on unsmoothed decays.
  3. [Sample Preparation and Experimental Design / Discussion] The manuscript reports no control experiments. To attribute the observed lifetime increase to photoinduced structural changes in melanin, the authors need either a no-laser control (identical sample, same acquisition timing, laser blocked between readouts) or a photostable short-lifetime reference dye measured under the identical protocol. Given the authors' own acknowledgment of Brownian motion, partial drying, and focus-related signal changes, the current design does not exclude artifacts such as slow axial drift, sample drying, or photobleaching as the source of the apparent monotonic lifetime trend.
  4. [Retrieval of the Instrument Response Function] The IRF is measured in reflection geometry by placing a silver mirror on the sample stage, whereas the melanosome signal is collected from a volumetric sample through the full numerical aperture of the objective. The authors acknowledge that this geometrical difference can cause 'subtle variations' in extracted lifetimes. Because the claimed fast component lies close to the ~20 ps IRF FWHM, even small IRF shape or time-shift differences can bias τ1 and its apparent evolution over time. This systematic uncertainty should be quantified, for instance by comparing fits using IRFs measured with a scattering sample in the same volumetric geometry or by perturbing the measured IRF within its uncertainty.
  5. [Reconvolution Fitting Process] The 60 decays are fitted independently, so a monotonic increase in fitted lifetimes could be mimicked by a progressive reweighting of amplitudes rather than a true change in decay constants—for example, if the fast component is preferentially lost through photobleaching. The authors should perform a global fit in which lifetimes are shared across all time points while amplitudes are allowed to vary, or use a formal model comparison (e.g., F-test or AIC/BIC) between constant-lifetime and time-varying-lifetime models, to establish that the data actually require time-dependent τ1 and τ2.
minor comments (7)
  1. [Data Analysis] The sentence 'the full set of decay constants (τ1, τ1)' should read 'τ1 and τ2'.
  2. [Introduction] The phrase 'near-UR' should be 'near-IR'.
  3. [Experimental Setup] The word 'micriscope' should be 'microscope'.
  4. [Experimental Setup, Fig. 1] The callout 'shown in the 1.' is incomplete; it should reference 'Fig. 1'.
  5. [Data Analysis] The text states 'After performing reconvolution fitting for 40 FLIM measurements over 60 minutes,' which conflicts with the 60 one-minute acquisitions and the 60 time points in Supplementary Table 1; the number of measurements should be clarified.
  6. [Figures 4, 6, and 7] These figures lack error bars, and the text's statement of approximately ±10% uncertainty for a single measurement should be supported by a derivation (e.g., from the fit covariance or repeated fits).
  7. [Data Analysis, χ2 discussion] The notation 'χ2' should be explicitly defined as reduced chi-square, and the degrees of freedom or the way in which the smoothing affects the statistic should be stated.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: the measured lifetimes are independently fit TCSPC outputs validated against 4-DASPI, and the self-citations are not load-bearing.

full rationale

The paper's central results are fit outputs, not inputs. The decay constants tau1 and tau2 are obtained by reconvolution fitting each TCSPC decay independently, with the model S(t) = convolution of F(t) and R(t), and F(t) = sum A_i exp(-t/tau_i). Nothing in the equations defines the reported lifetime trend in terms of the paper's conclusion; the trend emerges from the fitted values. The fitting procedure is grounded in an independent external standard: 4-DASPI in water, whose known ~10 ps lifetime is recovered under the same conditions, which checks the deconvolution pipeline against a reference not produced by the authors. The only self-references are the group's SPIE proceedings paper [37] and their GitHub ReconFit software [66], but these are cited as methodological tools or prior conference reports, not as the evidence that lifetimes increase, so they are not load-bearing. The interpretation that the monotonic lifetime increase indicates structural photoinduced changes is a biological inference, not a mathematical identity, and the manuscript itself honestly limits this claim: 'we currently do not have direct evidence linking these lifetimes to specific degradation pathways such as oxidation or polymer rearrangement' and lists Brownian motion and single-power constraints as limitations. Concerns about hand-selecting the most prominent trace, Savitzky-Golay smoothing, lack of a no-laser control, and possible photobleaching or focus drift are validity and robustness concerns, not circularity: they question whether the measured trend is real or correctly attributed, but they do not show that the reported result is equivalent to its own inputs by construction. The paper is self-contained against an external benchmark and does not import a uniqueness theorem or ansatz from prior work to force its conclusion.

Assumptions & free parameters 4 free parameters · 4 assumptions · 0 invented entities

The central claim rests on fitted lifetimes and amplitudes from a two-exponential model, on the validity of the IRF, and on a single selected data pattern. No new physical entities are introduced.

free parameters (4)
  • tau1 (fast fluorescence lifetime) = Increases over 60 minutes, see Fig. 6
    Extracted from reconvolution fit of the TCSPC decay; central to the claim that lifetimes change over time.
  • tau2 (slow fluorescence lifetime) = Increases over 60 minutes, see Fig. 6
    Extracted from reconvolution fit; central to the claim.
  • Amplitudes A1 and A2 = Amplitude ratio A2/A1 decreases then stabilizes, see Fig. 7
    Fitted amplitudes used to infer the relative contributions of the two decay components.
  • IRF shift (delta t) = Not specified in the text
    Fitted in the reconvolution to align the IRF with the decay; affects the extracted lifetimes.
assumptions (4)
  • domain assumption The fluorescence decay of melanosomes can be modeled as a sum of two exponentials.
    Used throughout the reconvolution fitting; the number of components is chosen by the authors and not independently verified.
  • domain assumption The mirror-measured IRF is representative of the instrument response during volumetric sample measurements.
    The authors note the probing geometry differs between the IRF measurement (reflection, coverslip) and sample acquisition (full NA, volumetric), which can introduce systematic error.
  • ad hoc to paper Savitzky-Golay smoothing does not bias the estimated decay parameters.
    Smoothing is applied to signal and IRF before fitting; the authors report chi-squared below 1 and attribute it to smoothing, indicating the noise model used for fitting is altered.
  • ad hoc to paper The selected 'most prominent pattern' is representative of melanosome behavior under irradiation.
    The authors explicitly focus on a single pattern among multiple observed response types.

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Cite this review

Pith. "Pith review of Fluorescence Lifetime Imaging Microscopy Analysis of Isolated Melanosomes." pith.science (2026). https://pith.science/paper/MUX37ZFS

@misc{pith2026250709114,
  author       = {Pith},
  title        = {Pith review of: Fluorescence Lifetime Imaging Microscopy Analysis of Isolated Melanosomes},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/MUX37ZFS}},
  note         = {Machine review of arXiv:2507.09114}
}
read the original abstract

Melanosomes are organelles found in a wide variety of tissues throughout the animal kingdom. They contain a variety of biological molecules, but the dominant constituent is the pigment melanin, and many functions ascribed to melanosomes, such as photoprotection, are uniquely enabled by the chemical properties and structures of the melanins they contain. In this report, we used, for the first time, Fluorescence Lifetime Imaging Microscopy (FLIM) to examine fluorescent properties of pigments in melanosomes and evaluate their time evolution upon extended laser irradiation. We discovered a relatively short-lived component in fluorescence emission and revealed significant changes in lifetimes upon irradiation indicating structural photoinduced changes to melanin occurring on a time scale of minutes, with observations extending up to one hour.

Figures

Figures reproduced from arXiv: 2507.09114 by the authors.

Figure 1
Figure 1. Schematic diagram of the experimental setup for fast FLIM acquisition. The setup includes a femtosecond excitation source, optical components for beam shaping and filtering, a home-built inverted microscope with a confocal pinhole attachment, and a detection system using a hybrid photomultiplier (B&H HPM-100-06). Key components are labeled for clarity. BBO – Beta-Barium Borate SHG crystal (θ = 23.4 ◦); BB – Beam blo… view at source ↗
Figure 2
Figure 2. Optical microscope images of melanosome organelles observed under different magnifications. (a) Planar sample of unaggregated melanosomes showing uniform distribution observed under 40x magnification. (b) Volumetric distribution of unaggregated melanosomes, where overlapping regions result in a blurred appearance due to depth-of-field limitations observed under 40x magnification. (c) 4x magnification reveals large c… view at source ↗
Figure 3
Figure 3. Reconvolution fit of the TCSPC data for 4-DASPI in water. The red line represents the signal, the green line is the IRF, and the blue line is the reconvolution fit. To validate the reconvolution fitting process, we used 4-DASPI dissolved in water as a standard reference. 4-DASPI is known for its short fluorescence lifetime in water at around 10 ps [58, 59]. We performed a TCSPC measurement on a 25 µL sample of 4-DAS… view at source ↗
Figures from the paper (4 more)
Figure 4
Figure 4. Figure 4: Initial rise followed by a decline. Top: Peak photon counts per minute. Middle: Total photons detected per minute. Bottom: FWHM of spectra per minute. It is worth noting that even when fluorescence variation might be the same, total intensity might still be different […
Figure 5
Figure 5. Figure 5: Reconvolution fit of the fluorescence decay data for melanosomes after 20 minutes of laser exposure, corresponding to the data in [PITH_FULL_IMAGE:figures/full_fig_p007_5.png]
Figure 6
Figure 6. Figure 6: Evolution of the fluorescence lifetime components τ1 (fast decay) and τ2 (slow decay) over 60 minutes of continuous laser exposure, corresponding to the data in [PITH_FULL_IMAGE:figures/full_fig_p008_6.png]
Figure 7
Figure 7. Figure 7: Temporal evolution of the amplitude ratio (A2/A1) between the fast and slow decay components over 60 minutes of laser exposure, indicating changes in the relative contributions of the two processes. The initial rapid decrease suggests a shift in fluorescence dynamics. …

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Works this paper leans on

73 extracted references · 70 canonical work pages

  1. [1]

    Imaging molecular interactions in living cells,

    R. N. Day and F. Schaufele, “Imaging molecular interactions in living cells,”Molecular endocrinology, vol. 19, no. 7, pp. 1675–1686, 2005

  2. [2]

    B. D. Gomperts, P. E. Tathamet al., Signal transduction. Academic Press, 2009

  3. [3]

    Molecular-genetic imaging based on reporter gene expression,

    J. H. Kang and J.-K. Chung, “Molecular-genetic imaging based on reporter gene expression,”Journal of Nuclear Medicine, vol. 49, no. Suppl 2, pp. 164S–179S, 2008

  4. [4]

    Imaging protein synthesis in cells and tissues with an alkyne analog of puromycin,

    J. Liu, Y. Xu, D. Stoleru, and A. Salic, “Imaging protein synthesis in cells and tissues with an alkyne analog of puromycin,” Proceedings of the National Academy of Sciences, vol. 109, no. 2, pp. 413–418, 2012

  5. [5]

    Tracking of cell populations to understand their spatio- temporal behavior in response to physical stimuli,

    D. House, M. L. Walker, Z. Wu, J. Y. Wong, and M. Betke, “Tracking of cell populations to understand their spatio- temporal behavior in response to physical stimuli,” in2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. IEEE, 2009, pp. 186–193

  6. [6]

    Subcellular measurements of mechanical and chemical properties using dual raman-brillouin microspectroscopy,

    Z. Meng, S. C. Bustamante Lopez, K. E. Meissner, and V. V. Yakovlev, “Subcellular measurements of mechanical and chemical properties using dual raman-brillouin microspectroscopy,”Journal of Biophotonics, vol. 9, no. 3, pp. 201–207, 2016

  7. [7]

    Imaging live-cell dynamics and structure at the single-molecule level,

    Z. Liu, L. D. Lavis, and E. Betzig, “Imaging live-cell dynamics and structure at the single-molecule level,”Molecular cell, vol. 58, no. 4, pp. 644–659, 2015

  8. [8]

    Non-invasive remote assessment of tissue fibrogenesis using brillouin microscopy,

    V. Cheburkanov, M. Kizilov, S. Jung, M. Y. Berezin, and V. V. Yakovlev, “Non-invasive remote assessment of tissue fibrogenesis using brillouin microscopy,” in Optical Elastography and Tissue Biomechanics XII, K. V. Larin and G. Scarcelli, Eds., vol. 13321, International Society for Optics and Photonics. SPIE, 2025, p. 133210H. [Online]. Available: https:/...

Show all 73 references
  1. [9]

    Noninvasive investigation of enteric glia culture viscoelastic properties,

    V. Cheburkanov, M. Kizilov, S. Jung, K. I. O. Sandoval, S. Raghavan, and V. Yakovlev, “Noninvasive investigation of enteric glia culture viscoelastic properties,” in Label-free Biomedical Imaging and Sensing (LBIS) 2025, N. T. Shaked and O. Hayden, Eds., vol. 13331, Internatio...

  2. [10]

    Mosaicism of the retinal pigment epithelium: seeing the small picture,

    J. M. Burke and L. M. Hjelmeland, “Mosaicism of the retinal pigment epithelium: seeing the small picture,”Molecular interventions, vol. 5, no. 4, p. 241, 2005

  3. [11]

    Prota,Melanins and melanogenesis

    G. Prota,Melanins and melanogenesis. Academic Press, 2012

  4. [12]

    Molecular and phenotypic analysis of 25 recessive, homozygous-viable alleles at the mouse agouti locus,

    R. J. Miltenberger, K. Wakamatsu, S. Ito, R. P. Woychik, L. B. Russell, and E. J. Michaud, “Molecular and phenotypic analysis of 25 recessive, homozygous-viable alleles at the mouse agouti locus,”Genetics, vol. 160, no. 2, pp. 659–674, 2002

  5. [13]

    New trends in photobiology: properties and function of the ocular melanin—a photobiophysical view,

    T. Sarna, “New trends in photobiology: properties and function of the ocular melanin—a photobiophysical view,” Journal of Photochemistry and Photobiology B: Biology, vol. 12, no. 3, pp. 215–258, 1992

  6. [14]

    Melanin: a two edged sword?

    H. Z. Hill, W. Li, P. Xin, and D. L. Mitchell, “Melanin: a two edged sword?”Pigment cell research, vol. 10, no. 3, pp. 158–161, 1997

  7. [15]

    Characterization of phototoxic effects in multiphoton flim,

    S. R. Alam, H. Wallrabe, K. G. Christopher, K. Siller, and A. Periasamy, “Characterization of phototoxic effects in multiphoton flim,”SPIE Proceedings, vol. 11965, pp. 119650B – 119650B–7, 2022. 10

  8. [16]

    Effects of photodegradation on the physical and antioxidant properties of melanosomes isolated from retinal pigment epithelium,

    M. Zareba, G. Szewczyk, T. Sarna, L. Hong, J. D. Simon, M. M. Henry, and J. M. Burke, “Effects of photodegradation on the physical and antioxidant properties of melanosomes isolated from retinal pigment epithelium,”Photochemistry and photobiology, vol. 82, no. 4, pp. 1024–1029, 2006

  9. [17]

    Understanding the mechanism of light-induced age-related decrease in melanin concentration in retinal pigment epithelium cells,

    A. E. Dontsov, M. A. Yakovleva, A. A. Vasin, A. A. Gulin, A. V. Aybush, V. A. Nadtochenko, and M. A. Ostrovsky, “Understanding the mechanism of light-induced age-related decrease in melanin concentration in retinal pigment epithelium cells,” International Journal of Molecular ...

  10. [18]

    Jimbow, M

    K. Jimbow, M. Jimbow, and M. Chiba, “Characterization of structural properties for morphological differentiation of melanosomes: Ii. electron microscopic and sds-page comparison of melanosomal matrix proteins in b16 and harding passey melanomas,” Journal of Investigative Derma...

  11. [19]

    The use of freeze-fracture and negative staining techniques to study the ultrastructure of melanosomes isolated from b16 melanoma

    P. Lea, H. Haberman, A. Pawlowski, and I. Menon, “The use of freeze-fracture and negative staining techniques to study the ultrastructure of melanosomes isolated from b16 melanoma.”Journal of anatomy, vol. 121 Pt 1, pp. 1–5, 1976

  12. [20]

    Flim strategies for intracellular sensing: Fluorescence lifetime imaging as a tool to quantify analytes of interest,

    M. J. Ruedas-Rama, J. M. Alvarez-Pez, L. Crovetto, J. M. Paredes, and A. Orte, “Flim strategies for intracellular sensing: Fluorescence lifetime imaging as a tool to quantify analytes of interest,” Advanced Photon Counting: Applications, Methods, Instrumentation, pp. 191–223, 2015

  13. [21]

    Discrimination of cancerous from benign pigmented skin lesions based on multispectral autofluorescence lifetime imaging dermoscopy and machine learning,

    P. Vasanthakumari, R. A. Romano, R. G. Rosa, A. G. Salvio, V. Yakovlev, C. Kurachi, J. M. Hirshburg, and J. A. Jo, “Discrimination of cancerous from benign pigmented skin lesions based on multispectral autofluorescence lifetime imaging dermoscopy and machine learning,”Journal ...

  14. [22]

    Pixel-level classification of pigmented skin cancer lesions using multispectral autofluorescence lifetime der- moscopy imaging,

    ——, “Pixel-level classification of pigmented skin cancer lesions using multispectral autofluorescence lifetime der- moscopy imaging,”Biomedical Optics Express, vol. 15, no. 8, pp. 4557–4583, 2024

  15. [23]

    Differentiation of wild-type and crispr-modified colon cancer cells using brillouin microscopy,

    M. Kizilov, V. Cheburkanov, and V. V. Yakovlev, “Differentiation of wild-type and crispr-modified colon cancer cells using brillouin microscopy,” inAPS March Meeting Abstracts, vol. 2025, 2025, pp. OD01–012, arXiv preprint arXiv:2507.05329

  16. [24]

    Machine-learning assisted discrimination of precancerous and cancerous from healthy oral tissue based on multispectral autofluorescence lifetime imaging endoscopy,

    E. Duran-Sierra, S. Cheng, R. Cuenca, B. Ahmed, J. Ji, V. V. Yakovlev, M. Martinez, M. Al-Khalil, H. Al-Enazi, Y.-S. L. Chenget al., “Machine-learning assisted discrimination of precancerous and cancerous from healthy oral tissue based on multispectral autofluorescence lifetim...

  17. [25]

    Temperature dependence of nanosecond laser pulse thresholds of melanosome and microsphere microcavitation,

    M. S. Schmidt, P. Kennedy, G. Noojin, R. Thomas, and B. Rockwell, “Temperature dependence of nanosecond laser pulse thresholds of melanosome and microsphere microcavitation,”Journal of Biomedical Optics, vol. 21, 2016

  18. [26]

    Degraded melanocores are incompetent to protect epidermal keratinocytes against uv damage,

    W. Yi, M. Su, Y. Shi, S. Jiang, S.-z. Xu, and T. Lei, “Degraded melanocores are incompetent to protect epidermal keratinocytes against uv damage,”Cell Cycle, vol. 17, pp. 844–857, 2018

  19. [27]

    42°c heat stress pretreatment protects human melanocytes against 308-nm laser-induced dna damage in vitro,

    W. Hu, N. Mi, Y. Xu, G. Zhao, and W. Gu, “42°c heat stress pretreatment protects human melanocytes against 308-nm laser-induced dna damage in vitro,”Lasers in Medical Science, vol. 35, pp. 1801–1809, 2020

  20. [28]

    Capabilities and limitations of a new thermal finite volume model for the evaluation of laser-induced thermo-mechanical retinal damage,

    M. Luecking, R. Brinkmann, S. Ramos, W. Stork, and N. Heussner, “Capabilities and limitations of a new thermal finite volume model for the evaluation of laser-induced thermo-mechanical retinal damage,”Computers in Biology and Medicine, vol. 122, p. 103835, 2020

  21. [29]

    Ultra-structural effects of different low-level lasers on normal cultured human melanocytes: an in vitro comparative study,

    K. Alghamdi, A. Kumar, A. Al-ghamdi, A. Al-rikabi, M. Mubarek, and A. Ashour, “Ultra-structural effects of different low-level lasers on normal cultured human melanocytes: an in vitro comparative study,”Lasers in Medical Science, vol. 31, pp. 1819–1825, 2016

  22. [30]

    Raman microspectroscopy of melanosomes: the effect of long term light irradiation,

    A. Saha, R. Arora, V. V. Yakovlev, and J. M. Burke, “Raman microspectroscopy of melanosomes: the effect of long term light irradiation,”Journal of Biophotonics, vol. 4, no. 11-12, pp. 805–813, 2011

  23. [31]

    Real-time monitoring of chemical and structural changes induced by light irradiation of cells and tissues,

    V. V. Yakovlev, R. J. Thomas, G. Noojin, and M. Denton, “Real-time monitoring of chemical and structural changes induced by light irradiation of cells and tissues,” inImaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues VI, vol. 6859. SPIE, 2008, pp. 90–97

  24. [32]

    Fluorescence lifetime imaging (flim): Basic concepts and some recent developments,

    K. Suhling, L. M. Hirvonen, J. A. Levitt, P.-H. Chung, C. Tregidgo, A. Le Marois, D. A. Rusakov, K. Zheng, S. Ameer- Beg, S. Polandet al., “Fluorescence lifetime imaging (flim): Basic concepts and some recent developments,”Medical photonics, vol. 27, pp. 3–40, 2015

  25. [33]

    Fluorescence lifetime spectroscopy of hemoglobin,

    V. Cheburkanov, M. Kizilov, and V. Yakovlev, “Fluorescence lifetime spectroscopy of hemoglobin,” in Optical Diagnostics and Sensing XXV: Toward Point-of-Care Diagnostics , G. L. Coté and J. S. Baba, Eds., vol. 13316, International Society for Optics and Photonics. SPIE, 2025, ...

  26. [34]

    Non-fitting algorithms for fluorescence lifetime imaging,

    H. Biswas, R. Tang, M. Michie, M. Kizilov, V. Cheburkanov, V. V. Yakovlev, and M. Y. Berezin, “Non-fitting algorithms for fluorescence lifetime imaging,” in Reporters, Contrast Agents, and Molecular Probes for Biomedical Applications XVI, M. Y. Berezin and R. Raghavachari, Eds...

  27. [35]

    Viscoelastic characterization of melanoma cells using bril- louinspectroscopy,

    M. Kizilov, V. Cheburkanov, S. Jung, and V. V. Yakovlev, “Viscoelastic characterization of melanoma cells using bril- louinspectroscopy,” inAPS March Meeting Abstracts, vol.2025, 2025, pp.OD01–011, arXivpreprintarXiv:2507.05186

  28. [36]

    Yakovlev,Biochemical applications of nonlinear optical spectroscopy

    V. Yakovlev,Biochemical applications of nonlinear optical spectroscopy. CRC Press, 2018. 11

  29. [37]

    Fluorescence lifetime imaging and signal reconvolution for characterizing laser-induced melanosome degradation,

    M. Kizilov, S. Jung, V. Cheburkanov, and V. Yakovlev, “Fluorescence lifetime imaging and signal reconvolution for characterizing laser-induced melanosome degradation,” inMultimodal Biomedical Imaging XX, X. Intes, M. Ochoa, and M. A. Yaseen, Eds., vol. 13309, International Soc...

  30. [38]

    Wavelength-dependent threshold fluences for melanosome disruption to evaluate the treatment of pigmented lesions with 532-, 730-, 755-, 785-, and 1064-nm picosecond lasers,

    Y. Shimojo, T. Nishimura, D. Tsuruta, T. Ozawa, H. H. L. Chan, and T. Kono, “Wavelength-dependent threshold fluences for melanosome disruption to evaluate the treatment of pigmented lesions with 532-, 730-, 755-, 785-, and 1064-nm picosecond lasers,”Lasers in Surgery and Medic...

  31. [39]

    Theevolutionofmelasmatherapy: targetingmelanosomesusinglow-fluenceq-switchedneodymium-doped yttrium aluminium garnet lasers,

    A.Kauvar, “Theevolutionofmelasmatherapy: targetingmelanosomesusinglow-fluenceq-switchedneodymium-doped yttrium aluminium garnet lasers,”Seminars in Cutaneous Medicine and Surgery, vol. 31, pp. 126–132, 2012

  32. [40]

    Highly-sensitive, low-cost duv resonant raman microspectroscopy system,

    J. Harrington, V. Cheburkanov, M. Kizilov, I. Kulagin, G. Petrov, and V. V. Yakovlev, “Highly-sensitive, low-cost duv resonant raman microspectroscopy system,”Chemistry-Methods, 2025

  33. [41]

    Advanced preprocessing and analysis techniques for enhanced raman spectroscopy data interpretation,

    M. Kizilov, V. Cheburkanov, J. Harrington, and V. Yakovlev, “Advanced preprocessing and analysis techniques for enhanced raman spectroscopy data interpretation,” in Optical Biopsy XXIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, R. R. Alfano, A. B. Seddon, L. Shi, ...

  34. [42]

    Time-resolvedfluorescencespectroscopyoftheretinalpigment epithelium: age-related studies,

    R.Cubeddu, F.Docchio, R.Ramponi, andM.Boulton, “Time-resolvedfluorescencespectroscopyoftheretinalpigment epithelium: age-related studies,”IEEE Journal of Quantum Electronics, vol. 26, pp. 2218–2225, 1990

  35. [43]

    Deep ultraviolet resonant raman (duvrr) spectroscopy for spectroscopic evaluation and disinfection of food and agricultural samples,

    J. T. Harrington, V. Cheburkanov, M. Kizilov, I. Kulagin, G. Petrov, and V. V. Yakovlev, “Deep ultraviolet resonant raman (duvrr) spectroscopy for spectroscopic evaluation and disinfection of food and agricultural samples,” in Photonic Technologies in Plant and Agricultural Sc...

  36. [44]

    In vivo multimodal retinal imaging of disease-related pigmentary changes in retinal pigment epithelium,

    R. K. Meleppat, K. E. Ronning, S. J. Karlen, M. E. Burns, E. N. Pugh Jr, and R. J. Zawadzki, “In vivo multimodal retinal imaging of disease-related pigmentary changes in retinal pigment epithelium,”Scientific reports, vol. 11, no. 1, p. 16252, 2021

  37. [45]

    Retinal pigment epithelium pigment granules: Norms, age relations and pathology,

    A. Dontsov and M. Ostrovsky, “Retinal pigment epithelium pigment granules: Norms, age relations and pathology,” International Journal of Molecular Sciences, vol. 25, no. 7, p. 3609, 2024

  38. [47]

    High resolution diagnosis of common nevi by multiphoton laser tomography and fluorescence lifetime imaging,

    F. Arginelli, M. Manfredini, S. Bassoli, C. Dunsby, P. French, K. König, C. Magnoni, G. Ponti, C. Talbot, and S. Seidenari, “High resolution diagnosis of common nevi by multiphoton laser tomography and fluorescence lifetime imaging,” Skin Research and Technology, vol. 19, 2013

  39. [48]

    C. Fink, M. Hofmann, A. Jagoda, I. Spaenkuch, A. Forschner, I. Tampouri, D. Lomberg, D. Leupold, C. Garbe, and H. Haenssle, “Study protocol for a prospective, non-controlled, multicentre clinical study to evaluate the diagnostic accuracy of a stepwise two-photon excited melani...

  40. [49]

    Measuring the absorption coefficient of biological materials using integrating cavity ring-down spectroscopy,

    M. T. Cone, J. D. Mason, E. Figueroa, B. H. Hokr, J. N. Bixler, C. C. Castellanos, G. D. Noojin, J. C. Wigle, B. A. Rockwell, V. V. Yakovlevet al., “Measuring the absorption coefficient of biological materials using integrating cavity ring-down spectroscopy,”Optica, vol. 2, no...

  41. [50]

    Intraoperative microscopic autofluorescence detection and characterization in brain tumors using stimulated raman histology and two-photon fluorescence,

    G. Fürtjes, D. Reinecke, N. von Spreckelsen, A.-K. Meißner, D. Rueß, M. Timmer, C. Freudiger, A. Ion-Margineanu, F. Khalid, K. Watrinetet al., “Intraoperative microscopic autofluorescence detection and characterization in brain tumors using stimulated raman histology and two-p...

  42. [51]

    Retinal pigment epithelium pigment granules stimulate the photo-oxidation of unsaturated fatty acids,

    A. E. Dontsov, R. D. Glickman, and M. A. Ostrovsky, “Retinal pigment epithelium pigment granules stimulate the photo-oxidation of unsaturated fatty acids,”Free Radical Biology and Medicine, vol. 26, no. 11-12, pp. 1436–1446, 1999

  43. [52]

    Hyperthermia sensitizes pigmented cells to laser damage without changing threshold damage temperature,

    M. L. Denton, G. D. Noojin, M. S. Foltz, V. V. Yakovlev, L. E. Estlack, R. J. Thomas, and B. A. Rockwell, “Hyperthermia sensitizes pigmented cells to laser damage without changing threshold damage temperature,”Journal of Biomedical Optics, vol. 18, no. 11, pp. 110501–110501, 2013

  44. [53]

    Pump-probe detection of laser-induced microbubble formation in retinal pigment epithelium cells,

    J. Roegener, R. Brinkmann, and C. P. Lin, “Pump-probe detection of laser-induced microbubble formation in retinal pigment epithelium cells,”Journal of Biomedical Optics, vol. 9, no. 2, pp. 367–371, 2004

  45. [54]

    Smoothing and differentiation of data by simplified least squares procedures

    A. Savitzky and M. J. Golay, “Smoothing and differentiation of data by simplified least squares procedures.”Analytical chemistry, vol. 36, no. 8, pp. 1627–1639, 1964

  46. [55]

    Reconvolution analysis in time-resolved fluorescence experi- ments—an alternative approach: Reference-to-excitation-to-fluorescence reconvolution,

    J. Večeř, A. Kowalczyk, L. Davenport, and R. Dale, “Reconvolution analysis in time-resolved fluorescence experi- ments—an alternative approach: Reference-to-excitation-to-fluorescence reconvolution,” Review of scientific instru- ments, vol. 64, no. 12, pp. 3413–3424, 1993

  47. [56]

    Fluorescence lifetime imaging by time- correlated single-photon counting,

    W. Becker, A. Bergmann, M. Hink, K. König, K. Benndorf, and C. Biskup, “Fluorescence lifetime imaging by time- correlated single-photon counting,”Microscopy research and technique, vol. 63, no. 1, pp. 58–66, 2004. 12

  48. [57]

    Differential evolution,

    K. V. Price, “Differential evolution,” inHandbook of optimization: From classical to modern approach. Springer, 2013, pp. 187–214

  49. [58]

    Excited-state photophysics and dynamics of a hemicyanine dye in aot reverse micelles,

    J. Kim and M. Lee, “Excited-state photophysics and dynamics of a hemicyanine dye in aot reverse micelles,”The Journal of Physical Chemistry A, vol. 103, no. 18, pp. 3378–3382, 1999

  50. [59]

    Dendron design, synthesis, and application in nanocrystal assembly,

    K. C. Elbert, “Dendron design, synthesis, and application in nanocrystal assembly,” Ph.D. dissertation, University of Pennsylvania, 2021

  51. [60]

    On the theory of the brownian motion,

    G. E. Uhlenbeck and L. S. Ornstein, “On the theory of the brownian motion,”Physical review, vol. 36, no. 5, p. 823, 1930

  52. [61]

    High resolution fluorescence lifetime maps from minimal photon counts,

    M. Fazel, S. Jazani, L. Scipioni, A. Vallmitjana, E. Gratton, M. Digman, and S. Pressé, “High resolution fluorescence lifetime maps from minimal photon counts,”ACS Photonics, vol. 9, pp. 1015 – 1025, 2022

  53. [62]

    Fast timing techniques in flim applications,

    L. Hirvonen and K. Suhling, “Fast timing techniques in flim applications,”Frontiers in Physics, vol. 8, 2020

  54. [63]

    Rapid fluorescence lifetime imaging microscopy via few-photon imaging,

    M.-J. Sun, Y.-C. Zhang, F. Lin, S. Wang, L. Liu, and J. Qu, “Rapid fluorescence lifetime imaging microscopy via few-photon imaging,” APL Photonics, 2024

  55. [64]

    Real-time open-source flim analysis,

    K. K. D. Tan, M. A. Tsuchida, J. Chacko, N. A. Gahm, and K. Eliceiri, “Real-time open-source flim analysis,”Frontiers in Bioinformatics, vol. 3, 2023

  56. [65]

    Multiphoton flim analyses of native and uva-modified synthetic melanins,

    A. Pena, S. Ito, T. Bornschlögl, S. Brizion, K. Wakamatsu, and S. Del Bino, “Multiphoton flim analyses of native and uva-modified synthetic melanins,”International Journal of Molecular Sciences, vol. 24, 2023

  57. [66]

    Flim reconvolution toolkit,

    M. Kizilov, “Flim reconvolution toolkit,” https://github.com/mkizilov/ReconFit

  58. [67]

    Protein aggregation monitoring in cells under oxidative stress: a novel fluorescent probe based on a 7-azaindole-bodipy derivative,

    D. Herrera-Ochoa, I. Llano, C. Ripoll, P. Cybulski, M. Kreuzer, S. Rocha, E. M. García-Frutos, I. Bravo, and A. Garzón-Ruiz, “Protein aggregation monitoring in cells under oxidative stress: a novel fluorescent probe based on a 7-azaindole-bodipy derivative,”Journal of material...

  59. [68]

    Alkylated green fluorescent protein chromophores: dynamics in the gas phase and in aqueous solution,

    E. K. Ashworth, M.-H. Kao, C. S. Anstöter, G. Riesco-Llach, L. Blancafort, K. M. Solntsev, S. Meech, J. Verlet, and J. Bull, “Alkylated green fluorescent protein chromophores: dynamics in the gas phase and in aqueous solution,” Physical chemistry chemical physics : PCCP, 2023

  60. [69]

    Multimodal nonlinear microscopy for therapy monitoring of cold atmospheric plasma treatment,

    T. Meyer, H. Bae, S. Hasse, J. Winter, T. Woedtke, M. Schmitt, K. Weltmann, and J. Popp, “Multimodal nonlinear microscopy for therapy monitoring of cold atmospheric plasma treatment,”Micromachines, vol. 10, 2019

  61. [70]

    Time-domain fluorescence lifetime imaging by nonlinear fluorescence microscopy constructed of a pump-probe setup with two-wavelength laser pulses,

    F. Dake and Y. Taki, “Time-domain fluorescence lifetime imaging by nonlinear fluorescence microscopy constructed of a pump-probe setup with two-wavelength laser pulses,”Applied Optics, vol. 57, pp. 757–762, 2018

  62. [71]

    Multiphoton laser tomography and fluorescence lifetime imaging of melanoma: Morphologic features and quantitative data for sensitive and specific non-invasive diagnostics,

    S. Seidenari, F. Arginelli, C. Dunsby, P. French, K. König, C. Magnoni, C. Talbot, and G. Ponti, “Multiphoton laser tomography and fluorescence lifetime imaging of melanoma: Morphologic features and quantitative data for sensitive and specific non-invasive diagnostics,”PLoS ON...

  63. [72]

    High-speed compressed-sensing fluorescence lifetime imaging microscopy of live cells,

    Y. Ma, Y. Lee, C. Best-Popescu, and L. Gao, “High-speed compressed-sensing fluorescence lifetime imaging microscopy of live cells,”Proceedings of the National Academy of Sciences, vol. 118, 2020

  64. [73]

    Real-time visualization of two-photon fluorescence lifetime imaging microscopy using a wavelength-tunable femtosecond pulsed laser,

    J. Ryu, U. Kang, and J. e. a. Kim, “Real-time visualization of two-photon fluorescence lifetime imaging microscopy using a wavelength-tunable femtosecond pulsed laser,”Biomedical Optics Express, vol. 9, pp. 3449–3463, 2018

  65. [74]

    Optimization of advanced live-cell imaging through red/near-infrared dye labeling and fluorescence lifetime-based strategies,

    M. e. a. Bénard, “Optimization of advanced live-cell imaging through red/near-infrared dye labeling and fluorescence lifetime-based strategies,” International Journal of Molecular Sciences, vol. 22, 2021. 13

Pith tools

Reviewed August 6, 2026 · model on record in the stance chip above.