Contrast-Free FLIM Reveals Metabolic Changes in Pathological Islets of Langerhans
, Alena Kashirina 1,*, Irina Kornilova 1, Aleksandra Bogomolova 1, Darya Myalik 1, Nasipbek Naraliev 1, Denis Kuchin 1,2, Liya Lugovaya 1, Elena Zagaynova 1,3, Vladimir Zagainov 1,4 and Aleksandra Kashina 1Round 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.
