Research Interest: Super-resolution technology; Stochastic Optical Reconstruction Microscopy(STORM); Cell Imaging and Structure; Propagation and Scattering of Light in Random and Complex Media; Classical Coherence Theory; Laser Communications and LaserRadar Systems; Near-field Scattering; Optical Imaging System

Research Interest:  Designing and preparing new nanobiomaterials Characterizing physical and chemical properties, biocompatibility and bioactivity of the nanobiomaterials

Research Interest: Tissue & organ repair and regeneration, Tissue engineering, Wound healing, Clinical medicine, dimensional tissue equivalent models, Novel wound and scar remediation therapies, Chinese herbal medicine, Growth factor/extracellular matrix protein complexes, Pharmaceutical and drugs

Research Interest: Bone and cartilage disease modeling, drug screening and gene correctionDirect differentiation of pluripotent stem cells toward cartilage and boneBone reprogramming of fibroblasts using defined factors Gene therapy for cartilage regeneration and repair in regenerative medicine Signaling pathway of genes regulating cartilage differentiation of human mesenchymal stem cells.Molecular basis of mesenchymal stem cells maintaining their stemness. Stem cell biology and technique

Publications List:

1. Liu TM*, Yingnan Wu. Editorial: Advancing Gene and Cell Therapy using Human Mesenchymal Stem Cells. Front Cell Dev Biol, 2023, 11:1294460. doi: 10.3389/fcell.2023.1294460. eCollection 2023. (IF 6.081, *corresponding author). Published on 13 Oct 2023.
2. Yufeng Shou, Ling Liu, Zhicheng Le, Khang Leng Lee, Xianlei Li, DionZhanyun Koh, Yuwen Wang, Tong Ming Liu, Zheng Yang, Chwee Teck Lim, Christine Cheung, Andy Tay. Mechano-responsive hydrogel for directing stem cell manufacturing and therapy. Bioact Mater, 2023, 24:387-400. doi: 10.1016/j.bioactmat.2022.12.019. eCollection 2023 Jun. eCollection 2023 Jun. (IF 16.44). (2023 Jan 2)
3. Liu TM*. Application of mesenchymal stem cells derived from human pluripotent stem cells in regenerative medicine. World J Stem cells, 2021,13(12): 1826-1844. doi: 10.4252/wjsc.v13.i12.1826  (Invited review, IF 5.326, *corresponding author). (2021 Dec 26)
4. Srinivasan A, Sathiyanathan P, Yin L, Liu TM, Lam A, Ravikumar M, Smith RAA, Loh HP, Zhang Y, Ling L, Ng SK, Yang YS, Lezhava A, Hui J, Oh S, Cool SM. Strategies to Enhance Immunomodulatory Properties and Reduce Heterogeneity in Mesenchymal Stromal Cells during ex vivo Expansion. Cytotherapy (IF 5.414). 2022 May;24(5):456-472. doi: 10.1016/j.jcyt.2021.11.009. Epub 2022 Feb 25. PMID: 35227601
5. Liu TM*, Yildirim ED, Li P, Fang HT, Denslin V, Kumar V, Loh YH, Lee EH, Cool SM, Teh BT, Hui JH, Lim B, Shyh-Chang N. Ascorbate and Iron Are Required for the Specification and Long-Term Self-Renewal of Human Skeletal Mesenchymal Stromal Cells.  Stem Cell Reports, 2020, 14:210-225 (IF 7.765, *corresponding author, cited 7). doi: 10.1016/j.stemcr.2020.01.002. Epub 2020 Jan 30. 11 February 2020.
6. Liu TM*. Regulation of chondrogenesis. Ann Stem Cell Res Ther. 2019; 3(1): 1028. (Invited Editorial, *corresponding author).
7. Liu TM, Shyh-Chang N. SIRT2 and glycolytic enzyme acetylation in pluripotent stem cells. Nat Cell Biol. 2017 Apr 27; 19(5):412-414. doi: 10.1038/ncb3522 (IF 20.06, cited 12).
8. Liu TM*. Stemness of Mesenchymal Stem Cells. J Stem Cell Ther Transplant. 2017; 1: 071-073 (Invited Editorial, *corresponding author, cited 9).
9. Cheng H, Ang HY, A El Farran C, Li P, Fang HT, Liu TM, Kong SL, Chin ML, Ling WY, Lim EK, Li H, Huber T, Loh KM, Loh YH, Lim B. Reprogramming mouse fibroblasts into engraftable myeloerythroid and lymphoid progenitors. Nat. Commun. 2016 Nov 21; 7:13396. doi: 10.1038/ncomms13396 (IF 11.3, cited 17).
10. Liu TM*, Lee EH, Lim B, Shyh-Chang N. Balancing Stem Cell Self-renewal and Differentiation with PLZF. Stem cells, 2016 Feb; 34(2):277-87. doi: 10.1002/stem.2270. Epub 2016 Jan 5 (IF 7.133, *corresponding author, cited 54).
11. Liu TM*. Stem Cell-Based Therapies for Cartilage Repair and Regeneration. J Stem Cells Res, Rev &. Rep. 2014, 1(1): 1-2 (Invited Editorial, *corresponding author).
12. Tan HK, Toh CX, Ma D, Yang B, Liu TM, Lu J, Wong CW, Tan TK, Li H, Syn C, Tan EL, Lim B, Lim YP, Cook SA, Loh YH. Human Finger-Prick Induced Pluripotent Stem Cells Facilitate the Development of Stem Cell Banking. Stem Cells Transl Med. 2014 May; 3(5):586-98. doi: 10.5966/sctm.2013-0195. Epub 2014 Mar 19. (IF 5.709, cited 42)
13. Liu TM*, Lee EH. Transcriptional regulatory cascades in Runx2-dependent bone development. Tissue Eng Part B Rev, 2013, 19(3):254-63. doi: 10.1089/ten.TEB.2012.0527. (*corresponding author). (IF 4.448, cited 238)
14. Liu TM*, Ng WM, Tan HS, Vinitha D, Yang Z, Fan JB, Zou Y, Hui JH, Lee EH, Lim B. Molecular basis of immortalization of human mesenchymal stem cells by combination of p53 knockdown and human telomerase reverse transcriptase overexpression. Stem Cells Dev. 2013 Jan 15; 22(2):268-78. doi: 10.1089/scd.2012.0222. Epub 2012 Aug 21. (IF4.67, *corresponding author, cited 67).
15. Liu TM*. Gene therapy for articular cartilage repair. Pharmaceutica Analytica Acta, 2012,3:e1112. doi:10.4172/2153-2435.1000e112 (Invited Editorial, *Corresponding author).
16. Yang Z, Zou Y, Guo XM, Tan HS, Denslin V, Yeow CH, Ren XF, Liu TM, Hui JH, Lee EH. Temporal activation of ß-catenin signaling in the chondrogenic process of mesenchymal stem cells affects the phenotype of the cartilage generated. Stem Cells Dev. 2012, 21:1966-1976. 2011 Dec 1. [Epub ahead of print]. (IF4.791, cited 35).
17. Liu TM^*, Guo XM, Tan HS, Hui JH, Lim B, Lee EH. Zinc-finger protein 145, acting as an upstream regulator of SOX9, improves the differentiation potential of human mesenchymal stem cells for cartilage regeneration and repair. Arthritis Rheum. 2011 Sep; 63(9):2711-20. doi: 10.1002/art.30430. (IF8.435, *Corresponding author, cited 72).
18. Liu T, Liu L, Wei Q, Hong Y. Sperm nuclear transfer and transgenic production in the fish medaka. Int J Biol Sci, 2011, 7(4): 469-475. (IF 3.215, cited 22)
19. Liu TM, Wu YN, Guo XM, Hui JH, Lee EH, Lim B. Effects of ectopic Nanog and Oct4 overexpression on mesenchymal stem cells. Stem Cells Dev. 2009 Sep;18(7):1013-22. doi: 10.1089/scd.2008.0335. (IF4.45, cited 164)
20. Liu TM, Martina M, Hutmacher DW, Hui JH, Lee EH, Lim B. Identification of common pathways mediating differentiation of bone marrow- and adipose tissue-derived human mesenchymal stem cells into three mesenchymal lineages. Stem Cells. 2007 Mar;25(3):750-60. doi: 10.1634/stemcells.2006-0394. Epub 2006 Nov 9. (IF 7.751, cited 524)
21. Lian Q, Lye E, Suan Yeo K, Khia Way Tan E, Salto-Tellez M, Liu TM, Palanisamy N, El Oakley RM, Lee EH, Lim B, Lim SK. Derivation of clinically compliant MSCs from CD105+, CD24- differentiated human ESCs. Stem Cells. 2007 Feb; 25(2):425-36. doi: 10.1634/stemcells.2006-0420. Epub 2006 Oct 19. (IF 7.751, cited 298).
22. Y.H. Hong, T.M. Liu, H.B. Zhao, H.Y. Xu, W.J. Wang, R. Liu, T.S. Chen. Establishment of a normal medakafish spermatogonial cell line capable of sperm production in vitro. Proc. Natl. Acad. Sci. USA., 2004, 101(21): 8011-8016. (IF 10.3, cited 213)
23. Y.H. Hong, C. Winkler, T.M. Liu, G.X. Chai, M. Schartl. Activation of the mouse Oct4 promoter in medaka embryonic stem cells and its use for ablation of spontaneous differentiation. Mech. Dev., 2004, 121: 933-943. (IF 3.16, cited 61)
24. TM Liu, QJ Wu, YZ Ye. Studies on the artificial induce gynogenesia and the sex revesal in loach (Misgurnus anguillicaudatus). Acta Hydrobiologica Sinica, 2004, 28: 445-447 (cited 6).
25. TM Liu, XM Yu, YZ Ye, JF Zhou, ZW Wang, JG Tong, QJ Wu. 2002. Factors affecting the efficiency of somatic cell nuclear transplantation in the fish embryo. The Journal of Experimental Zoology, 2002, 293:719-725 (cited 20)
26. T. M. Liu, Q. J. Wu, X. M. Yu, X.Y. Li. Effects of cell-cycle arrest agents on cleavage and development of loach (Misgurnus anguillicaudatus) embryos. Fish Physiology and Biochemistry, 2002, 25:3-9.
27. TM Liu, XM Yu, YZ Ye, ZW Wang, JF Zhou, QJ Wu. Studies on factors affecting the development of embryos from somatic cell nuclear transplantation in the fish. Zoological Research, 2002, 23(2): 107-112.
28. YD Liu, LR Song, XY Li, TM Liu. The toxic effects of microcystin-LR on embry-larval and juvenile development of loach, Misgurnus Mizolipis Gunthe. Toxicon, 2002, 40(4): 395-399 (cited 137).
29. TM Liu and QJ Wu. 2000. Progress of nuclear transplantation in teleost.   Biotechnology Information, 6:24-28.
30. TM Liu, JW Cao, LY Wan, Y Liu, YX Yu. Subcloning of alkalophilic gene from alkalophilic Bacillus sp. NTT36 and its expression in Escherichia coli and Agrobacterium tumefaciens. Amino Acids & Biotic Resources, 1999, 21(2): 37-40.
31. LY Wang, JW Cao, TM Liu, XQ Zhang. Cloning and expression of promoter from an alkalophilic Bacillus sp. NTT89 in Escherichia coli. Journal of Wuhan University (Natural Science Edition), 2000, 46(2): 257-260.
32. Y Gong, JW Cao, TM Liu. Clone and subclone of the alkalophilic gene from alkalophilic Bacillus sp. NTT36 and analysis of expressed products in E.coli. Journal of Wuhan University (Natural Science Edition), 1998, 44(6): 775-780.

Research Interest: Medical Physics, Health physics, Radiation detection, Technique of Radiation Therapy, Treatment Planning in Radiation Therapy.

Research Interest: His research focuses on computer assisted surgery, including medical image analysis, surgical navigation, surgery simulation, surgical robots, biomedical manufacturing, etc.

Research Interest: Shape memory materials and composites (bulk and thin film), Laser annealing and micro fabrication, Thin films (characterization and materials/devices) Micro/nano mechanics, nano patterning and indentation technology, Surface and optical properties of smart materials.  Advanced and novel materials.  Micro assembly and packaging, active disassembly. Deployable and bi-stable structures. Materials selection Flight mechanism in inserts Micro biomedical devices

Research Interest:  Non-point source, soil heavy metal, absorbing Material, and restoration

Research Interest:  Biomedical  instrumentation,  Health  monitoring  system,  System  modeling  and control, robotics

Research Interest: Functional Brain Imaging, Pre-surgical Brain Mapping, Biomedical signal and Image Processing, Neural Engineering

Biography:

My research focuses on establishing the clinical applicability of two new diagnostic parameters (to detect coronary artery disease) using a set of bench-top experiments, computational analysis, pre-clinical and clinical trials in our research group. These proposed diagnostic parameters based on fluid dynamic principles, pressure drop coefficient and lesion flow coefficient, have the potential to make a real paradigm shift in clinical decision making related to cardiovascular intervention. As part of my research involving pre-clinical and clinical trials I had collaborated with clinicians and scientists at College of Medicine, University of Cincinnati and at Cincinnati Children's Hospital and Medical Center. Preliminary results from these studies have concluded the clinical applicability of these parameters to distinguish between stenoses of various severity.
More recently, at Weill Cornell Medical College, I am working on using 3D printing, machine learning and computational fluid dynamics to predict and prevent coronary artery disease from non-invasive CCTA imaging data.

Research Interest: 3D printing, Computational fluid dynamics, clinical radiology, non-invasive CCTA scanning, machine learning, interventional cardiology, applied mathematics, bio-heat transfer

List of Publications:

1. Al'Aref SJ, Anchouche K, Singh G, Slomka PJ, Kolli KK, Kumar A, Pandey M, Maliakal G, van Rosendael AR, Beecy AN, Berman DS, Leipsic J, Nieman K, Andreini D, Pontone G, Schoepf UJ, Shaw LJ, Chang HJ, Narula J, Bax JJ, Guan Y, Min JK. Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging. Eur Heart J. 2018. Epub 2018/07/31. doi: 10.1093/eurheartj/ehy404. PubMed PMID: 30060039. Available from: https://www.ncbi.nlm.nih.gov/pubmed/30060039.

2. Kolli KK, Min JK. Image-based computational fluid dynamic analysis for surgical planning of sequential grafts in coronary artery bypass grafting. Accepted as Contributed full paper for publication in Conference Proceedings for IEEE Engineering in Medicine and Biology Society Conference. 2018. [Accepted]

3. van Rosendael AR, Maliakal G, Kolli KK, Beecy A, Al'Aref SJ, Dwivedi A, Singh G, Panday M, Kumar A, Ma X, Achenbach S, Al-Mallah MH, Andreini D, Bax JJ, Berman DS, Budoff MJ, Cademartiri F, Callister TQ, Chang HJ, Chinnaiyan K, Chow BJW, Cury RC, DeLago A, Feuchtner G, Hadamitzky M, Hausleiter J, Kaufmann PA, Kim YJ, Leipsic JA, Maffei E, Marques H, Pontone G, Raff GL, Rubinshtein R, Shaw LJ, Villines TC, Gransar H, Lu Y, Jones EC, Pena JM, Lin FY, Min JK. Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry. J Cardiovasc Comput Tomogr. 2018;12(3):204-9. Epub 2018/05/14. doi: 10.1016/j.jcct.2018.04.011. PubMed PMID: 29753765. Available from: https://www.ncbi.nlm.nih.gov/pubmed/29753765.

4. Singh G, Al'Aref SJ, Van Assen M, Kim TS, van Rosendael A, Kolli KK, Dwivedi A, Maliakal G, Pandey M, Wang J, Do V, Gummalla M, De Cecco CN, Min JK. Machine learning in cardiac CT: Basic concepts and contemporary data. J Cardiovasc Comput Tomogr. 2018; 12(3):192-201. Epub 2018/05/15. doi: 10.1016/j.jcct.2018.04.010. PubMed PMID: 29754806. Available from: https://www.ncbi.nlm.nih.gov/pubmed/29754806.

5. Beecy AN, Chang Q, Anchouche K, Baskaran L, Elmore K, Kolli KK, Wang H, Al'Aref S, Pena JM, Knight-Greenfield A, Patel P, Sun P, Zhang T, Kamel H, Gupta A, Min JK. A Novel Deep Learning Approach for Automated Diagnosis of Acute Ischemic Infarction on Computed Tomography. JACC Cardiovascular imaging. 2018. Epub 2018/05/21. doi: 10.1016/j.jcmg.2018.03.012. PubMed PMID: 29778866. Available from: https://www.ncbi.nlm.nih.gov/pubmed/29778866.

6. Peelukhana SV, Banerjee R, van de Hoef TP, Kolli KK, Effat M, Helmy T, Leesar M, Kerr H, Piek JJ, Succop P, Back L, Arif I. Evaluation of lesion flow coefficient for the detection of coronary artery disease in patient groups from two academic medical centers. Cardiovascular Revascularization
Kranthi Kolli 6 10/05/2018Medicine. 2018;19(3 Pt B):348-54. Epub 2017/10/19. doi: 10.1016/j.carrev.2017.08.018. PubMed PMID: 29037762. Available from: https://www.ncbi.nlm.nih.gov/pubmed/29037762.

7. Han D, Starikov A, Xiong G, Hartaigh B, Granser H, Kolli KK, Lee J, Rizvi A, Baskaran L, Schulman-Marcus J, Lin FY, Min JK. Relationship between endothelial wall shear stress and high-risk atherosclerotic plaque characteristic for identification of coronary lesions that cause ischemia: A direct comparison to fractional flow reserve. Journal of the American Heart Association. 2016; 5(12). doi: 10.1161/JAHA.116.004186. PubmMed PMID: 27993831. Available from: https://www.ncbi.nlm.nih.gov/pubmed/27993831

8. Kolli KK, Min JK, Ha S, Soohoo H, Xiong G. Effect of Varying Hemodynamic and Vascular Conditions on Fractional Flow Reserve: An In Vitro Study. Journal of the American Heart Association. 2016;5(7). doi: 10.1161/JAHA.116.003634. PubMed PMID: 27364988. Available from: http://www.ncbi.nlm.nih.gov/pubmed/27364988.

9. Kolli KK, van de Hoef TP, Effat MA, Banerjee RK, Peelukhana SV, Succop P, Leesar MA, Imran A, Piek JJ, Helmy TA. Diagnostic cutoff for pressure drop coefficient in relation to fractional flow reserve and coronary flow reserve: A patient-level analysis. Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions. 2016;87(2):273-82. doi: 10.1002/ccd.26063. PubMed PMID: 26424295. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26424295.

10. Peelukhana SV, Effat M, Kolli KK, Arif I, Helmy T, Leesar M, Kerr H, Back LH, Banerjee R. Lesion flow coefficient: a combined anatomical and functional parameter for detection of coronary artery disease--a clinical study. The Journal of invasive cardiology. 2015;27(1):54-64. PubMed PMID: 25589702. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25589702.

11. Peelukhana SV, Banerjee R, Kolli KK, Fernandez-Ulloa M, Arif I, Effat M, Helmy T, Kerr H. Benefit of ECG-gated rest and stress N-13 cardiac PET imaging for quantification of LVEF in ischemic patients. Nuclear medicine communications. 2015;36(10):986-98. doi: 10.1097/MNM.0000000000000352. PubMed PMID: 26225941. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26225941.

12. Peelukhana SV, Kolli KK, Leesar MA, Effat MA, Helmy TA, Arif I, Schneeberger EW, Succop P, Banerjee RK. Effect of myocardial contractility on hemodynamic end points under concomitant microvascular disease in a porcine model. Heart and vessels. 2014;29(1):97-109. doi: 10.1007/s00380-013-0355-9. PubMed PMID: 23624760. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23624760.

13. Peelukhana SV, Kerr H, Kolli KK, Fernandez-Ulloa M, Gerson M, Effat M, Arif I, Helmy T, Banerjee R. Benefit of cardiac N-13 PET CFR for combined anatomical and functional diagnosis of ischemic coronary artery disease: a pilot study. Annals of nuclear medicine. 2014;28(8):746-60. doi: 10.1007/s12149-014-0869-y. PubMed PMID: 24950752. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24950752.

14. Kolli KK, Helmy TA, Peelukhana SV, Arif I, Leesar MA, Back LH, Banerjee RK, Effat MA. Functional diagnosis of coronary stenoses using pressure drop coefficient: a pilot study in humans. Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions. 2014;83(3):377-85. doi: 10.1002/ccd.25085. PubMed PMID: 23785016. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23785016.

15. Kolli KK, Effat MA, Peelukhana SV, Succop P, Back LH, Leesar MA, Helmy TA, Imran A, Banerjee RK. Hyperemia-free delineation of epicardial and microvascular impairments using a basal index. Annals of biomedical engineering. 2014;42(8):1681-90. doi: 10.1007/s10439-014-1020-x. PubMed PMID: 24806315. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24806315.
Kranthi Kolli 7 10/05/2018

16. Kolli KK, Arif I, Peelukhana SV, Succop P, Back LH, Helmy TA, Leesar MA, Effat MA, Banerjee RK. Diagnostic performance of pressure drop coefficient in relation to fractional flow reserve and coronary flow reserve. The Journal of invasive cardiology. 2014;26(5):188-95. PubMed PMID: 24791716. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24791716.

17. Kolli KK, Paul AK, Back LH, Effat MA, Banerjee RK. Optimization of balloon obstruction for simulating equivalent pressure drop in physiological stenoses. Biorheology. 2013;50(5-6):257-68. doi: 10.3233/BIR-130640. PubMed PMID: 24398608. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24398608.

18. Peelukhana SV, Banerjee RK, Kolli KK, Effat MA, Helmy TA, Leesar MA, Schneeberger EW, Succop P, Gottliebson W, Irif A. Effect of heart rate on hemodynamic endpoints under concomitant microvascular disease in a porcine model. American journal of physiology Heart and circulatory physiology. 2012;302(8):H1563-73. doi: 10.1152/ajpheart.01042.2011. PubMed PMID: 22287585. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22287585.

19. Kolli KK, Banerjee RK, Peelukhana SV, Effat MA, Leesar MA, Arif I, Schneeberger EW, Succop P, Gottliebson WM, Helmy TA. Effect of changes in contractility on pressure drop coefficient and fractional flow reserve in a porcine model. The Journal of invasive cardiology. 2012;24(1):6-12. PubMed PMID: 22210582. Available from: http://www.ncbi.nlm.nih.gov/pubmed/22210582.

20. Rajabi-Jaghargh E, Kolli KK, Back LH, Banerjee RK. Effect of guidewire on contribution of loss due to momentum change and viscous loss to the translesional pressure drop across coronary artery stenosis: an analytical approach. Biomedical engineering online. 2011;10:51. doi: 10.1186/1475-925X-10-51. PubMed PMID: 21658283; PMCID: 3141581. Available from: http://www.ncbi.nlm.nih.gov/pubmed/21658283.

21. Kolli KK, Banerjee RK, Peelukhana SV, Helmy TA, Leesar MA, Arif I, Schneeberger EW, Hand D, Succop P, Gottliebson WM, Effat MA. Influence of heart rate on fractional flow reserve, pressure drop coefficient, and lesion flow coefficient for epicardial coronary stenosis in a porcine model. American journal of physiology Heart and circulatory physiology. 2011;300(1):H382-7. doi: 10.1152/ajpheart.00412.2010. PubMed PMID: 20935151. Available from: http://www.ncbi.nlm.nih.gov/pubmed/20935151.

Research Interest: Since 2008 Paola Saccomandi has been involved in research activities in the fields of biomedical instrumentations and measurements applied to medicine. From 2008 to 2011 she worked under the supervisio of Prof. Sergio Silvestri and Dr. Emiliano Schena in the fied of mechanical ventilation. In particular she worked on development of optoelectronic and fiber optic-based flow sensors, as well as on ventilatory gases humidification. In 2011 she started her main research activity in the field of laser ablation of cancer, with particular regard to pancreatic tumor. She developed a mathematic model aiming to predic effects of laser light o pancreas, in terms of ablated volume and temperature distribution. Since 2012 she has been investigating the field of invasive (fiber optic sensors, thermocouples) and non-ivasive (based on diagnostic images) thermometry for temperature monitoring during laser ablation of tumour. In this activity she is actively collaborating with the team of research of the Institute for Diagnostic and Interventional Radiology of J. W. Goethe Universität Frankfurt am Main, headed by Prof. Thomas J. Vogl. Since 2013 she has been working in the fied of optical characterization of biological tissue, aiming to estimate optical properties of pancreas. She is collaborating with the team of Biophysics Institute J. W. Goethe Universität Frankfurt am Main, headed by Prof. Werner Mäntele. In the framework of laser ablation for the removal of pancreatic cancer, she has participated at the study approved by UCBM Ethics Committee -ComEt UCBM-, Prot. N. 4011/2011. The study aims to treat with laser ablation patients with inoperable pancreatic cancer. Since 2014 she is also involved in the design and development of tactile sensors for robotic artificial prosthetics

Research Interest: Development of new lanthanide complexes for MRI and optical imaging: synthesis, purification (HPLC, flash chromatography) and physicochemical characterization (NMR spectroscopy, mass spectrometry, luminescence, UV-visible, FTIR).  

Research Interest: Basic experiment skills in molecular and cell biology, immunology and zoology as follows: Molecular biology:Regular skills of molecular biology;plasmid construction, including shRNA and overexpression, GFP fusion protein, nucleic acid extraction, purification.  Biochemistry: protein expression analysis, including western blotting, immunoprecipitation and quantitative real-time RT-PCR; E.coli expressionsystem, soluble and insoluble protein purification.  Cell biology: Mammalian cell culture; plasmid transfection; development of stable transfected cell lines; immunohistochemistry; immunocytochemistry.   Others: Basic animal, especially mouse and rat handling skills;drosophila culture; familiar with ordinary operation of laser scanning confocal microscopy  (Leica,Zeiss,Olympus), fluorescence microscopy, fluorescence spectrometer;familiar with ordinary statistic and bioinformatical softwares.

Research Interest: Stem cells and Regenerative Medicine, Tissue Regeneration, Tissue Engineering Stem Cells Biology and Differentiation, Stem cells biomaterials interaction, Mechanotransduction