Analysis and interpretation of infrared microscopic maps: Visualization and classification of skin components by digital staining and multivariate analysis

McIntosh, Laura; Mansfield, James R.; Crowson, A. Neil; Mantsch, Henry H.; Jackson, Michael

doi:10.1002/(sici)1520-6343(1999)5:5<265::aid-bspy1>3.0.co;2-f

Cited by 25 publications

(13 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In IR spectroscopy, McIntosh et al [39] investigated the use of infrared spectroscopy for the characterization of in vitro basal cell carcinoma (BCC) specimens, exploiting the fact that mid-IR light is absorbed by a variety of skin components. Point spectroscopy was performed using an IR spectrometer and an aperture of 20 μm × 20 μm from carefully selected regions containing only one type of skin lesion.…”

Section: Digital Pathology Imaging Modalitiesmentioning

confidence: 99%

Histopathological Image Analysis: A Review

Gürcan

Boucheron

Can

et al. 2009

IEEE Rev. Biomed. Eng.

1,639

1,010

View full text Add to dashboard Cite

Section: Digital Pathology Imaging Modalitiesmentioning

confidence: 99%

Histopathological Image Analysis: A Review

Gürcan

Boucheron

Can

et al. 2009

IEEE Rev. Biomed. Eng.

1,639

1,010

View full text Add to dashboard Cite

“…To illustrate the improvement in spatial resolution, Figure 1(C) compares the corresponding IR images of the examined tissue section based on IR band intensities at 1084 cm −1 , which are known to be primarily characteristic of nuclear material (DNA, RNA). 4–7 Both images show a prominent ovoid area near the center (colored in red), which is a size, shape, and location match to the H&E stained tumor area shown in Figure 1(A). The image based on the analysis of the FPA data, however, reveals a clear fine structure in the tumor area.…”

Section: Resultsmentioning

confidence: 66%

“…Point by point mapping experiments of tissue sections proved that the IR approach enables the distinguishing of major tissue constituents based on their IR spectra and the diagnosing of pathologic tissue alterations. 4–10 At the same time these conventional approaches also revealed two major limitations: the collection of individual spectra over large areas of tissue is very time consuming (hours), and the spatial resolution is limited because of the low throughput of IR light with small aperture sizes (30–40 μm). The latter situation can be improved by using brilliant IR radiation provided by a synchrotron source.…”

Section: Introductionmentioning

confidence: 99%

Mid‐IR microspectroscopic imaging of breast tumor tissue sections

et al. 2002

View full text Add to dashboard Cite

IR microspectroscopic imaging is a relatively new approach for the examination of tissue sections. In contrast to standard light microscopy based procedures, the IR approach requires neither sample staining nor fixation. The IR spectra of breast tumor tissue sections are obtained via a microscope equipped with a focal plane array detector. This enabled the simultaneous collection of individual mid-IR spectra from thousands of different sample positions with a spatial resolution near the diffraction limit. The analysis of the IR data reveals a high sensitivity of the IR approach toward changes in tissue biochemistry and variations in breast tissue architecture. Moreover, the data demonstrate the need for collecting spectra with high spatial resolution at the level of individual cells. This minimizes problems associated with tissue microheterogeneity and is an essential prerequisite for future studies aimed at developing IR microspectroscopic imaging as a complement to present diagnostic tools for breast cancer.

show abstract

“…[1][2][3][4][5] Initially, we excised neoplasms, and processed them in the fresh state with sections for formaldehyde fixation and paraffin embedding matched to tissue elements snap frozen in liquid nitrogen and stored at À801F. Thick sections from the frozen tissue elements were interrogated by mid-IR wavelength light ( Figure 1).…”

Section: Noninvasive Assessment Of Skin Lesions By Near Infrared (Ir)mentioning

confidence: 99%

The future of dermatopathology

Crowson

2006

Modern Pathology

View full text Add to dashboard Cite

Of the major issues that dermatopathology will face in the immediate future, two powerful challenges loom large. The first is the application of novel nondestructive imaging technologies to in vivo diagnosis in humans. The second is the application of molecular technologies to a diagnostic arena which formerly belonged exclusively to the light microscopist. The first to be considered in this context is the application of near infrared spectroscopy to the noninvasive in vivo diagnosis of neoplastic skin disease. The second will be a discussion of application, methodology and the current state of the art in microarray technologies as they apply to neoplastic dermatopathology and, in particular, the diagnosis and prognostication of melanoma. Modern Pathology (2006) 19, S155-S163. doi:10.1038/modpathol.3800513Keywords: in vivo microscope; tissue microarray; basal cell carcinoma; infrared spectroscopy Noninvasive assessment of skin lesions by near infrared (IR) spectroscopyIn the late 1990s, working with Dr Laura McIntosh and colleagues at the National Research Council of Canada, the University of Manitoba, Central Medical Laboratories and the Misericordia General Hospital in Winnipeg, Canada, we designed and patented a noninvasive tool for the diagnosis of skin tumors using visible and near IR spectroscopy in the 400-2500 nm size wavelength range. 1-5 Initially, we excised neoplasms, and processed them in the fresh state with sections for formaldehyde fixation and paraffin embedding matched to tissue elements snap frozen in liquid nitrogen and stored at À801F. Thick sections from the frozen tissue elements were interrogated by mid-IR wavelength light (Figure 1). The transmitted light generated significant spectral differences; water, hemoglobin, cytochromes, lipids and proteins all absorb light at specific frequencies ( Figure 2). In particular, the mid-IR range is rich with information about proteins including in the context of collagen and RNA. When analyzed by a sophisticated leave-one-out hierarchical classification algorithm, distinction between microanatomic compartments of the skin could be made (Figure 3). Using this methodology, we were able with an accuracy of 90-95% to distinguish basal cell carcinoma (BCC) from melanocytic nevi, seborrheic keratoses and squamous cell carcinomata in vitro. Melanocytic nevi could be subdivided into banal vs dysplastic nevi based upon their spectral differences and melanomas could be separately recognized as well. Furthermore, the different types of lesion were shown to have distinct mid-IR signatures when compared to adjacent normal epidermal and dermal compartments.Unfortunately, the diagnostic potential of mid-IR spectroscopy for in vivo applications is limited, as complete absorption of mid-IR light occurs with samples greater than 10-15 mm in thickness. In contrast, near-IR light scatters to a much greater extent than it absorbs and in consequence, tissues are relatively transparent in the near-IR region which permits the examination of larger tissue volumes and led to...

show abstract

Analysis and interpretation of infrared microscopic maps: Visualization and classification of skin components by digital staining and multivariate analysis

Cited by 25 publications

References 16 publications

Histopathological Image Analysis: A Review

Histopathological Image Analysis: A Review

Mid‐IR microspectroscopic imaging of breast tumor tissue sections

The future of dermatopathology

Contact Info

Product

Resources

About