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by
  • Polina Ermakova1,
  • Alena Kashirina1,* and
  • Irina Kornilova1
  • et al.

Reviewer 1: Anonymous Reviewer 2: Andrew Clayton

Round 1

Reviewer 1 Report

I would like to congratulate the authors for performing in-depth analysis on this topic. I have some minor comments as follows:

1. Please change the graph format for figure 3B. As the data is significant, but visualizing the graph it seems subtle. I recommend authors to break the y-axes, so that it looks better in the publication

2. Some of the text and figures are not aligned well.

3. Please describe FLIM and write what each abbreviations mean.

4. I would encourage the authors to write A paragraph, how FLIM principle works.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

In this paper the authors use time-resolved fluorescence microscopy (FLIM) to characterize the link between pathologies of islet cells and the distribution of metabolic enzymes. The enzyme distribution was detected by the characteristic excited-state lifetime of the different enzyme forms and the proportions detected through changes in the amplitudes of the different species. A nice feature of the work has that a number of different cell systems were used including pigs, rats and humans under different pathological and physiological conditions. The work shows that FLIM is a non-invasive approach that in some cases may be used to detect pathologies of pancreatic Islet cells and to monitor recovery. The paper is well-written and cites the literature in an authoritative manner.

Author Response

Dear Reviewer,

Thank you very much for the positive review on the manuscript.