Whole organ cross-section chemical imaging using label-free mega-mosaic FTIR microscopy

被引:24
作者
Bassan, Paul [1 ]
Sachdeva, Ashwin [1 ]
Shanks, Jonathan H. [2 ]
Brown, Mick D. [3 ]
Clarke, Noel W. [3 ]
Gardner, Peter [1 ]
机构
[1] Univ Manchester, Manchester Inst Biotechnol, Manchester M1 7DN, Lancs, England
[2] Christie NHS Fdn Trust, Dept Histopathol, Manchester M20 4BX, Lancs, England
[3] Univ Manchester, Christie NHS Fdn Trust, Manchester Acad Hlth Sci Ctr, Paterson Inst Canc Res,Inst Canc Sci,Dept Urol,Ge, Manchester M20 4BX, Lancs, England
基金
英国工程与自然科学研究理事会;
关键词
PROSTATE-CANCER; BIOPSIES; MICROSPECTROSCOPY; HISTOPATHOLOGY; SPECTROSCOPY; CELLS;
D O I
10.1039/c3an01674a
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
FTIR chemical imaging has been demonstrated as a promising technique to construct automated systems to complement histopathological evaluation of biomedical tissue samples. The rapid chemical imaging of large areas of tissue has previously been a limiting factor in this application. Consequently, smaller areas of tissue have previously had to be sampled, possibly introducing sampling bias and potentially missing diagnostically important areas. In this report a high spatial resolution chemical image of a whole prostate cross section is shown comprising 66 million pixels. Each pixel represents an area 5.5 x 5.5 mu m(2) of tissue and contains a full infrared spectrum providing a chemical fingerprint. The data acquisition time was 14 hours, thus showing that a clinical time frame of hours rather than days has been achieved.
引用
收藏
页码:7066 / 7069
页数:4
相关论文
共 22 条
[1]   Interobserver reproducibility of Gleason grading of prostatic carcinoma: Urologic pathologists [J].
Allsbrook, WC ;
Mangold, KA ;
Johnson, MH ;
Lane, RB ;
Lane, CG ;
Amin, MB ;
Bostwick, DG ;
Humphrey, PA ;
Jones, EC ;
Reuter, VE ;
Sakr, W ;
Sesterhenn, IA ;
Troncoso, P ;
Wheeler, TM ;
Epstein, JI .
HUMAN PATHOLOGY, 2001, 32 (01) :74-80
[2]   FTIR-based spectroscopic analysis in the identification of clinically aggressive prostate cancer [J].
Baker, M. J. ;
Gazi, E. ;
Brown, M. D. ;
Shanks, J. H. ;
Gardner, P. ;
Clarke, N. W. .
BRITISH JOURNAL OF CANCER, 2008, 99 (11) :1859-1866
[3]   Investigating FTIR based histopathology for the diagnosis of prostate cancer [J].
Baker, Matthew J. ;
Gazi, Ehsan ;
Brown, Michael D. ;
Shanks, Jonathan H. ;
Clarke, Noel W. ;
Gardner, Peter .
JOURNAL OF BIOPHOTONICS, 2009, 2 (1-2) :104-113
[4]   The inherent problem of transflection-mode infrared spectroscopic microscopy and the ramifications for biomedical single point and imaging applications [J].
Bassan, Paul ;
Lee, Joe ;
Sachdeva, Ashwin ;
Pissardini, Juliana ;
Dorling, Konrad M. ;
Fletcher, John S. ;
Henderson, Alex ;
Gardner, Peter .
ANALYST, 2013, 138 (01) :144-157
[5]   FTIR microscopy of biological cells and tissue: data analysis using resonant Mie scattering (RMieS) EMSC algorithm [J].
Bassan, Paul ;
Sachdeva, Ashwin ;
Kohler, Achim ;
Hughes, Caryn ;
Henderson, Alex ;
Boyle, Jonathan ;
Shanks, Jonathan H. ;
Brown, Michael ;
Clarke, Noel W. ;
Gardner, Peter .
ANALYST, 2012, 137 (06) :1370-1377
[6]   Resonant Mie Scattering (RMieS) correction of infrared spectra from highly scattering biological samples [J].
Bassan, Paul ;
Kohler, Achim ;
Martens, Harald ;
Lee, Joe ;
Byrne, Hugh J. ;
Dumas, Paul ;
Gazi, Ehsan ;
Brown, Michael ;
Clarke, Noel ;
Gardner, Peter .
ANALYST, 2010, 135 (02) :268-277
[7]   Resonant Mie scattering in infrared spectroscopy of biological materials - understanding the 'dispersion artefact' [J].
Bassan, Paul ;
Byrne, Hugh J. ;
Bonnier, Franck ;
Lee, Joe ;
Dumas, Paul ;
Gardner, Peter .
ANALYST, 2009, 134 (08) :1586-1593
[9]   High throughput assessment of cells and tissues: Bayesian classification of spectral metrics from infrared vibrational spectroscopic imaging data [J].
Bhargava, Rohit ;
Fernandez, Daniel C. ;
Hewitt, Stephen M. ;
Levin, Ira W. .
BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES, 2006, 1758 (07) :830-845
[10]   Infrared Spectroscopic Imaging: The Next Generation [J].
Bhargava, Rohit .
APPLIED SPECTROSCOPY, 2012, 66 (10) :1091-1120