We describe a major advance in scanning ion conductance microscopy: a new hopping mode that allows non-contact imaging of the complex surfaces of live cells with resolution better than 20 nm. The effectiveness of this novel technique was demonstrated by imaging networks of cultured rat hippocampal neurons and mechanosensory stereocilia of mouse cochlear hair cells. The technique allows studying nanoscale phenomena on the surface of live cells under physiological conditions.There is a great interest in developing methods to image live cells at nanoscale resolution. Scanning probe microscopy (SPM) is one approach to this problem and both atomic force microscopy (AFM) and scanning electrochemical microscopy (SECM) have been used to image live cells 1,2 . However, deformation of the soft and responsive cell by AFM cantilever, particularly when imaging eukaryotic cells, represents a substantial problem for AFM. SECM, in contrast, involves no physical contact with the sample but a true topographic imaging of the convoluted surface of living cells with nanoscale resolution has not been yet achieved. Scanning ion conductance microscopy (SICM) 3 is another form of SPM, that allows imaging of the cell surface under physiological conditions without physical contact and with a resolution of 3-6 nm 4,5 . However, until now, SICM was restricted to imaging relatively flat surfaces, like all other SPM techniques. This is because when the probe encounters a vertical structure, it inevitably collides with the specimen (Fig. 1a). Here we report a novel mode of SICM that allows imaging of even the most convoluted surface structures at the nanoscale. SICM is based on the phenomenon that the ion flow through a sharp fluid-filled nanopipette is partially occluded when the pipette approaches the surface of a cell 3 . In conventional SICM a nanopipette is mounted on a three-dimensional piezo and automatic feedback control moves the pipette up or down to keep the pipette current at a constant level (the set point), while the sample is scanned in X-Y directions. Thus, a pipette-sample separation, typically equal to the pipette's inner radius, is maintained during imaging. In our hopping probe ion conductance microscopy (HPICM), we no longer use continuous feedback. Instead, at each imaging point, the pipette approaches the sample from a starting position that is above any of the surface features (Fig. 1b). The reference current is measured while the pipette is well away from the surface. The pipette then approaches until the current is reduced by a predefined amount, usually 0.25-1%. The Z-position when the current achieves this reduction is recorded as the height of the sample at this imaging point. Typically, even at a 1% reduction of the current, the pipette is still at a distance of about one inner pipette radius from the surface. Therefore, the probe never touches the surface of the cell. The pipette is then withdrawn away from the surface and the sample moved laterally to determine the next imaging point. By continuously upd...

Tumor heterogeneity is one of the most important and challenging problems not only in studying the mechanisms of cancer development but also in developing therapeutics to eradicate cancer cells. Here we report the use of multiplexed quantum dots (QDs) and wavelength-resolved spectral imaging for molecular mapping of tumor heterogeneity on human prostate cancer tissue specimens. By using a panel of just four protein biomarkers (E-cadherin, high-molecular-weight cytokeratin, p63, and α-methylacyl CoA racemase), we show that structurally distinct prostate glands and single cancer cells can be detected and characterized within the complex microenvironments of radical prostatectomy and needle biopsy tissue specimens. The results reveal extensive tumor heterogeneity at the molecular, cellular, and architectural levels, allowing direct visualization of human prostate glands undergoing structural transitions from a double layer of basal and luminal cells to a single layer of malignant cells. For clinical diagnostic applications, multiplexed QD mapping provides correlated molecular and morphological information that is not available from traditional tissue staining and molecular profiling methods.Keywords quantum dot; tumor heterogeneity; prostate cancer; multiplexing; spectral imaging; biomarker; immunohistochemistry Semiconductor quantum dots (QDs) have unique optical and electronic properties such as size-tunable light emission, superior signal brightness, resistance to photobleaching, and * Address correspondence to snie@emory.edu.Supporting Information Available: Supporting Figures S1 and S2 showing traditional H&E staining data, comparison of single-color and multiplexed QD staining, and biomarker quantification data. This material is available free of charge via the Internet at http://pubs.acs.org. NIH Public AccessAuthor Manuscript ACS Nano. Author manuscript; available in PMC 2010 August 18. NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author Manuscript simultaneous excitation of multiple fluorescence colors. 1 -4 These properties are most promising for improving the sensitivity and multiplexing capabilities of molecular histopathology and disease diagnosis. 5 -7 In contrast to in vivo imaging applications, where the potential toxicity of cadmium-containing QDs is a major concern, 4 immunohistological staining is performed on in vitro clinical patient samples. As a result, the use of multicolor QD probes in immunohistochemistry (IHC) is likely one of the most important and clinically relevant applications in the near term. 8 -16 In particular, the multiplexing capability of QDs is well-suited for investigating tumor heterogeneity and complexity, one of the most important and challenging problems in studying the mechanisms of cancer development and also in developing therapeutics to eradicate cancer cells. 16 -18 Human cancer is especially complex because it evolves over a long time course and shows a multitude of molecular, cellular, and architectural heterogeneity. 18 At the molecular ...

Haemodynamics-based neuroimaging is widely used to study brain function. Regional blood flow changes characteristic of neurovascular coupling provide an important marker of neuronal activation. However, changes in systemic physiological parameters such as blood pressure and concentration of 65%CO2 can also affect regional blood flow and may confound haemodynamics-based neuroimaging. Measurements with functional near-infrared spectroscopy (fNIRS) may additionally be confounded by blood flow and oxygenation changes in extracerebral tissue layers. Here we investigate these confounds using an extended version of an existing computational model of cerebral physiology, ‘BrainSignals’. Our results show that confounding from systemic physiological factors is able to produce misleading haemodynamic responses in both positive and negative directions. By applying the model to data from previous fNIRS studies, we demonstrate that such potentially deceptive responses can indeed occur in at least some experimental scenarios. It is therefore important to record the major potential confounders in the course of fNIRS experiments. Our model may then allow the observed behaviour to be attributed among the potential causes and hence reduce identification errors.

Scanning ion conductance microscopy (SICM) offers the ability to obtain very high-resolution topographical images of living cells. One of the great advantages of SICM lies in its ability to perform contact-free scanning. However, it is not yet clear when the requirements for this scan mode are met. We have used finite element modeling (FEM) to examine the conditions for contact-free scanning. Our findings provide a framework for understanding the contact-free mode of SICM and also extend previous findings with regard to SICM resolution. Finally, we demonstrate the importance of our findings for accurate biological imaging.

We demonstrate a strategy to “sense” the micro-morphology of a breast tumor margin over a wide field of view by creating quantitative hyperspectral maps of the tissue optical properties (absorption and scattering), where each voxel can be deconstructed to provide information on the underlying histology. Information about the underlying tissue histology is encoded in the quantitative spectral information (in the visible wavelength range), and residual carcinoma is detected as a shift in the histological landscape to one with less fat and higher glandular content. To demonstrate this strategy, fully intact, fresh lumpectomy specimens (n = 88) from 70 patients were imaged intra-operatively. The ability of spectral imaging to sense changes in histology over large imaging areas was determined using inter-patient mammographic breast density (MBD) variation in cancer-free tissues as a model system. We discovered that increased MBD was associated with higher baseline β-carotene concentrations (p = 0.066) and higher scattering coefficients (p = 0.007) as measured by spectral imaging, and a trend toward decreased adipocyte size and increased adipocyte density as measured by histological examination in BMI-matched patients. The ability of spectral imaging to detect cancer intra-operatively was demonstrated when MBD-specific breast characteristics were considered. Specifically, the ratio of β-carotene concentration to the light scattering coefficient can report on the relative amount of fat to glandular density at the tissue surface to determine positive margin status, when baseline differences in these parameters between patients with low and high MBD are taken into account by the appropriate selection of threshold values. When MBD was included as a variable a priori, the device was estimated to have a sensitivity of 74% and a specificity of 86% in detecting close or positive margins, regardless of tumor type. Superior performance was demonstrated in high MBD tissue, a population that typically has a higher percentage of involved margins.