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Michael D Morris

Publications and source records attributed to Michael D Morris.

24 records · Page 2Linked to original sources

Mineralization of developing mouse calvaria as revealed by Raman microspectroscopy.

Raman microspectroscopy is a nondestructive vibrational spectroscopic technique that permits the study of organic and mineral species at micron resolution, offers the ability to work with hydrated and dehydrated specimens in vivo or in vitro, and requires minimal specimen preparation. We used Raman microspectroscopy to determine the composition of the mineral environments present in mouse calvaria, the flat bones that comprise the top of the skull. We have acquired Raman transects (lines of point spectra) from mouse calvaria during a developmental time course ranging from embryonic day 13.5 (E13.5; 6 days before birth) to 6 months of age. Exploratory factor analysis (FA) reveals the presence of a variety of apatitic mineral environments throughout the tissue series. The earliest mineral is observed in the fetal day 15.5 (F15.5) mice and is identified as a carbonated apatite. The presence of a heterogeneous mineralized tissue in the postnatal specimens suggests that ionic incorporation and crystal perfection in the lattice yary as the mouse develops. This variation is indicative of the presence of both recently deposited mineral and more matured remodeled mineral. Band area ratios reveal that the mineral/matrix ratio initially increases, reaches a plateau, and then increases again. The carbonate/phosphate band area ratio remains constant from F18.5 to postnatal day 3 (PN3) and then increases with age. Insights into the chemical species, the degree of mineralization, and the multiple mineral environments that are present in normal calvarial tissue will enable us to better understand both normal and abnormal mineralization processes.

Animals↗

Classification of spectroscopically encoded resins by Raman mapping and infrared hyperspectral imaging.

Barcoded resins (BCRs) were recently introduced as a potential platform for pre-encoded multiplexed synthesis, screening, and biomedical diagnostics. A key step toward the development of this strategy is the ability to rapidly interrogate and classify the BCRs in a high-throughput, noninvasive manner. Here, we describe a one-step strategy based on Raman mapping and Fourier transform infrared imaging to classify and spatially resolve randomly distributed BCRs. To illustrate this methodology, mixtures of up to 25 different BCRs were imaged and classified with 100% confidence. This strategy can be readily extended to a larger pool of resins, provided each BCR features a unique vibrational fingerprint (spectroscopic barcode). We have also established that reliable single-bead Raman spectra can be recorded in 10 ms, thus confirming that Raman mapping, in particular, could be a very fast method to classify the BCRs.

Models, Molecular↗

Kerr-gated time-resolved Raman spectroscopy of equine cortical bone tissue.

Picosecond time-resolved Raman spectroscopy in equine cortical bone tissue is demonstrated. Using 400-nm pulsed laser excitation (1 ps at 1 kHz) it is shown that Kerr cell gating with a 4-ps window provides simultaneously time-resolved rejection of fluorescence and time-resolved Raman scatter enabling depth profiling through tissue. The Raman shifts are the same as those observed by conventional cw Raman spectroscopy using deep-red or near-infrared lasers. The time decay of Raman photons is shown to fit an inverse square root of time function, suggesting propagation by a diffusive mechanism. Using polystyrene behind a bone specimen, it is shown that the 400-nm laser light penetrates at least 0.31 mm below the surface of a fully mineralized bone tissue specimen and generates observable bone Raman scatter (approximately 415 to 430 nm) through most of this depth. These novel results demonstrate great promise for in vivo applications for studying diseased bone tissue, and ways to optimize the setup are discussed.

Animals↗

Raman imaging demonstrates FGF2-induced craniosynostosis in mouse calvaria.

Craniosynostosis is a severe craniofacial disease where one or more sutures, the fibrous tissue that lies between the cranial bones, fuses prematurely. Some craniosynostosis syndromes are known to be caused by mutations in fibroblast growth factor (FGF) receptors. Mutated FGF receptors are thought to cause constitutive signaling. In this study, heparin acrylic beads released fibroblast growth factor 2 (FGF2) to mimic constitutive signaling by mutated receptors, delivering FGF2 in addition to already existing normal tissue amounts. Fetal day 18.5 mouse sutures were treated with FGF2-soaked beads and cultured in serum free media for 48 h. We have shown previously that this treatment leads to fusion and increased Msx2 expression, but here we use near-infrared Raman imaging to simultaneously examine the mineral components and matrix components of cranial tissue while providing light microscopic spatial information. FGF2-treated mouse sutures show increased v1 phosphate and v1 carbonate bandwidths, indicating a slightly chemically modified mineral being rapidly deposited. In addition, FGF2-treated mouse sutures show a marked increase in mineral-to-matrix ratios compared to control mouse sutures, typical of increased mineralization.

Algorithms↗

Transcutaneous fiber optic Raman spectroscopy of bone using annular illumination and a circular array of collection fibers.

Transcutaneous bone Raman spectroscopy with an exciting annulus of 785-nm laser light surrounding the field of view of a circular array of collection fibers is demonstrated. The configuration provides distributed laser light. The annulus is located 2 to 3 mm beyond the edge of the field of view of the collection fibers to reject contributions from skin and other overlying tissues. Data are presented for rat and chicken tissue. For rat tibia, the carbonate/phosphate ratio measured at a depth of 1 mm below the skin is in error by 2.3% at an integration time of 120 s and within 10% at a 30-s integration time. For chicken tibia 4 mm below the skin surface, the error is less than 8% with a 120-s integration time.

Animals↗